Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:55:17.501435Z
Paper Citation Record · LEDGER
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review
As of 13 August 2026, this Paper Citation Record lists 100 of 167 outbound references and 0 inbound Pith citation observations for arXiv:2412.10538.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
100 of 167 outbound references displayed
- verified exact53
- verified fuzzy0
- unresolved44
- parse uncertain0
- malformed identifier3
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a4bb5075-e62d-4073-83dd-cdb1caa95654 · outbound
This paper cites Springer International Publishing, Cham, 2023.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Springer International Publishing, Cham, 2023
Reference 1
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3f3a30c2-1099-4529-ad69-d73524b192a8 · outbound
This paper cites O’Sullivan, G.D.
Reference 2
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.455425Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation de32b018-07b5-451c-99b9-17f7ebbd179d · outbound
This paper cites Future food-production systems: vertical farming and controlled-environment agriculture.Sustainability: Science, Practice and Policy, 13(1):13–26,.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Future food-production systems: vertical farming and controlled-environment agriculture.Sustainability: Science, Practice and Policy, 13(1):13–26,
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1e0ddee-1642-4e3f-b895-61cccd6bf148 · outbound
This paper cites High- throughput physiological phenotyping and screening system for the characterization of plant– environment interactions.The Plant Journal, 89(4):839–850, 2017.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review High- throughput physiological phenotyping and screening system for the characterization of plant– environment interactions.The Plant Journal, 89(4):839–850, 2017
Reference 4
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.397742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 203ff21c-7d96-47d8-a5d2-55f44bb3fdd5 · outbound
This paper cites Innovations in plant genetics adapting agriculture to climate change.Current Opinion in Plant Biology, 56:168–173, 2020.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Innovations in plant genetics adapting agriculture to climate change.Current Opinion in Plant Biology, 56:168–173, 2020
Reference 5
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.383351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c271da75-9bf1-44ff-bc6c-c0281c64ca47 · outbound
This paper cites Opportunities and limits of controlled-environment plant phenotyping for climate response traits.Theoretical and Applied Genetics, 135(1):1–16, 2022.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Opportunities and limits of controlled-environment plant phenotyping for climate response traits.Theoretical and Applied Genetics, 135(1):1–16, 2022
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.369436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 66211ea1-1da5-464a-abc4-9565c28ac348 · outbound
This paper cites an unresolved cited work.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Unresolved cited work
Reference 7
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.355176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 065a7585-287a-4357-9a14-a09df31891fb · outbound
This paper cites Hassan, Mukesh Kumar Awasthi, Babu Gajendran, Monika Sharma, Min-Kyu Ji, and El-Sayed Salama.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Hassan, Mukesh Kumar Awasthi, Babu Gajendran, Monika Sharma, Min-Kyu Ji, and El-Sayed Salama
Reference 8
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f451ef4-481f-4743-95b8-a4a4754ffe4a · outbound
This paper cites Tran, Alexandra Burgess, Ian Fisk, Michelle Watt, Marc Escrib´ a-Gelonch, Herve This, John Culton, and Volker Hes- sel.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Tran, Alexandra Burgess, Ian Fisk, Michelle Watt, Marc Escrib´ a-Gelonch, Herve This, John Culton, and Volker Hes- sel
Reference 9
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.340534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8ec8c6d5-a0c1-472c-a072-cd2a72552ff4 · outbound
This paper cites Lefers, Mark Tester, and Kyle J.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Lefers, Mark Tester, and Kyle J
Reference 10
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a4f71e1-1eae-46ee-a3f2-3ccda36d8ef0 · outbound
This paper cites Biomass production of the eden iss space greenhouse in antarctica during the 2018 experiment phase.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Biomass production of the eden iss space greenhouse in antarctica during the 2018 experiment phase
Reference 11
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c47d61d-956c-4179-82c2-66febde8766e · outbound
This paper cites Long, Jonathan P.
Reference 12
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.325495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b9d2e0bc-6f60-43bc-9078-c09cf3ff3fb2 · outbound
This paper cites Großkinsky, Jesper Svensgaard, Svend Christensen, and Thomas Roitsch.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Großkinsky, Jesper Svensgaard, Svend Christensen, and Thomas Roitsch
Reference 13
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.259784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5779f862-fad9-441e-8734-7f88dfa9f009 · outbound
This paper cites White, Pedro Andrade-Sanchez, Michael A.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review White, Pedro Andrade-Sanchez, Michael A
Reference 14
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.168760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation aac1898b-f958-46f0-bee6-0ecd7e61b601 · outbound
This paper cites Deery and Hamlyn G.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Deery and Hamlyn G
Reference 15
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.105026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5f83d992-2887-4932-9a9b-9264321aa6d5 · outbound
This paper cites Furbank, Jose A.
Reference 16
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.090922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c9ad346b-85be-428e-b6b6-d82fed8612fb · outbound
This paper cites an unresolved cited work.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Unresolved cited work
Reference 17
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.075793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6080ca48-6561-4d8f-b8df-9a60ab189f80 · outbound
This paper cites A controlled environment agriculture with hydroponics: variants, parameters, methodologies and challenges for smart farming.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review A controlled environment agriculture with hydroponics: variants, parameters, methodologies and challenges for smart farming
Reference 18
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d06d1b45-a680-4496-8918-a83746f84956 · outbound
This paper cites an unresolved cited work.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Unresolved cited work
Reference 19
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.061499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7af59e28-a626-40c5-9547-f6a8d91cd497 · outbound
This paper cites Messina, F.
Reference 20
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.046107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 05eb7f3b-800c-4ef1-b110-bf0f8540d68d · outbound
This paper cites Genotype x environment x man- agement (gem) reciprocity and crop productivity.Frontiers in Agronomy, 4:800365, 2022.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Genotype x environment x man- agement (gem) reciprocity and crop productivity.Frontiers in Agronomy, 4:800365, 2022
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66dd0aab-0a85-4031-ba0c-178ae5f90d6c · outbound
This paper cites Brukhin and N.
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16de3e73-5fa0-4990-aa6b-4af3042a0a8c · outbound
This paper cites Plant development.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Plant development
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d0b82c2-7f74-4a53-80db-3371af517e13 · outbound
This paper cites Future scenarios for plant phenotyping.Annual Review of Plant Biology, 64(Volume 64, 2013):267–291, 2013.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Future scenarios for plant phenotyping.Annual Review of Plant Biology, 64(Volume 64, 2013):267–291, 2013
Reference 24
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5848ddb-9432-4a9e-8419-7f3987c62cb3 · outbound
This paper cites Chapman and Hall/CRC, 2006.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Chapman and Hall/CRC, 2006
Reference 25
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.020806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9c8d720e-5a59-4f07-b796-224ad3daae69 · outbound
This paper cites CRC Press, 1989.
Reference 26
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:43.005663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5f530d1b-c484-4c55-bef2-d2c222b677d6 · outbound
This paper cites Forecasting plant and crop disease: An explo- rative study on current algorithms.Big Data and Cognitive Computing, 5(1), 2021.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Forecasting plant and crop disease: An explo- rative study on current algorithms.Big Data and Cognitive Computing, 5(1), 2021
Reference 27
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:42.989949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6aff176f-b9aa-4e97-ada3-897e19057abc · outbound
This paper cites an unresolved cited work.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Unresolved cited work
Reference 28
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:42.975817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 89782872-3d33-4335-bce2-5e8456c21da0 · outbound
This paper cites The dssat cropping system model.European Journal of Agronomy, 18(3):235–265, 2003.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review The dssat cropping system model.European Journal of Agronomy, 18(3):235–265, 2003
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ff7c42c5-17a8-4464-9916-994bf3b873b1 · outbound
This paper cites Assessment of climate change impact on water re- quirement and rice productivity.Rice Science, 30(4):276–293, 2023.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Assessment of climate change impact on water re- quirement and rice productivity.Rice Science, 30(4):276–293, 2023
Reference 30
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:42.832401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 285b4c16-1e48-4c5f-ad6a-b791fb8f7027 · outbound
This paper cites Cambridge univer- sity press, 2003.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Cambridge univer- sity press, 2003
Reference 31
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:42.814383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4962dd4d-4481-411e-a20a-180829a1f127 · outbound
This paper cites Chapman and Hall/CRC, 2018.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Chapman and Hall/CRC, 2018
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0cf66dc1-6e52-42af-88e7-db120d001cfc · outbound
This paper cites Plant phenotyping: from bean weighing to image analysis.Plant methods, 11:1–11, 2015.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Plant phenotyping: from bean weighing to image analysis.Plant methods, 11:1–11, 2015
Reference 33
- Resolution
- verified exact
- doi, observed 2026-08-11T15:58:42.791672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 25710cf6-3d68-48b1-80e8-501cfc080e0d · outbound
This paper cites High-throughput plant phenotyping platform (ht3p) as a novel tool for estimating agronomic traits from the lab to the field.Frontiers in Bioengineering and Biotechnology, 8,.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review High-throughput plant phenotyping platform (ht3p) as a novel tool for estimating agronomic traits from the lab to the field.Frontiers in Bioengineering and Biotechnology, 8,
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58d6a418-cdb9-4947-9117-1e13266e36d6 · outbound
This paper cites Applications of hyperspectral imaging in plant phenotyping.Trends in plant science, 27(3):301–315, 2022.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Applications of hyperspectral imaging in plant phenotyping.Trends in plant science, 27(3):301–315, 2022
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6ef6b39a-4691-4458-8b2c-6f8c862c662b · outbound
This paper cites Forero, Harold F.
Reference 36
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55ca69e6-9eb5-414b-8c11-fa2567b8a494 · outbound
This paper cites Thermal imaging: The digital eye facilitates high-throughput phenotyping traits of plant growth and stress responses.Science of The Total Environment, 899:165626, 2023.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Thermal imaging: The digital eye facilitates high-throughput phenotyping traits of plant growth and stress responses.Science of The Total Environment, 899:165626, 2023
Reference 37
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed9e3448-0258-49e6-bacd-c15bc5e123a7 · outbound
This paper cites Leveraging image analysis for high- throughput plant phenotyping.Frontiers in Plant Science, 10, 2019.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Leveraging image analysis for high- throughput plant phenotyping.Frontiers in Plant Science, 10, 2019
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb88016d-21f9-4b83-96b5-892f6a91f702 · outbound
This paper cites All roads lead to growth: imaging-based and biochemical methods to measure plant growth.Journal of Experimental Botany, 71(1):11–21, 09 2019.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review All roads lead to growth: imaging-based and biochemical methods to measure plant growth.Journal of Experimental Botany, 71(1):11–21, 09 2019
Reference 39
- Resolution
- verified exact
- doi, observed 2026-08-11T15:55:18.475441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 03d0e213-c019-46f3-ab58-ad7fa0a3dd13 · outbound
This paper cites Ma- chine learning for high-throughput stress phenotyping in plants.Trends in plant science, 21 (2):110–124, 2016.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Ma- chine learning for high-throughput stress phenotyping in plants.Trends in plant science, 21 (2):110–124, 2016
Reference 40
- Resolution
- verified exact
- doi, observed 2026-08-11T15:55:18.464558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a6e1aa06-a3f9-4b55-b953-d0e7885f72f9 · outbound
This paper cites Chee, Andrew H.
Reference 41
- Resolution
- verified exact
- doi, observed 2026-08-11T15:55:18.453129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3b287a81-305b-4889-b8f4-ecda6f825176 · outbound
This paper cites Soybean-mvs: Annotated three-dimensional model dataset of whole growth pe- riod soybeans for 3d plant organ segmentation.Agriculture, 13(7), 2023.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Soybean-mvs: Annotated three-dimensional model dataset of whole growth pe- riod soybeans for 3d plant organ segmentation.Agriculture, 13(7), 2023
Reference 42
- Resolution
- verified exact
- doi, observed 2026-08-11T15:55:18.442451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a9ebd2f7-e425-41b5-99c8-4d48d5fd31d9 · outbound
This paper cites Pheno4d: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis.PLOS ONE, 16(8):1–18, 08 2021.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Pheno4d: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis.PLOS ONE, 16(8):1–18, 08 2021
Reference 43
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac343aac-2074-4225-9a0a-447f4f05fe7e · outbound
This paper cites Topp, and Saket Navlakha.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Topp, and Saket Navlakha
Reference 44
- Resolution
- verified exact
- doi, observed 2026-08-11T15:55:18.425822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3b66e41b-e650-45c3-b502-44cf774f9b0b · outbound
This paper cites An easy-to-setup 3d phenotyping platform for komatsuna dataset.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review An easy-to-setup 3d phenotyping platform for komatsuna dataset
Reference 45
- Resolution
- verified exact
- doi, observed 2026-08-11T15:55:18.414042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1a9e3a5e-fab5-4f94-946a-cee0cada5ed7 · outbound
This paper cites Pc4c capsi: Image data of capsicum plant growth in protected horticulture.Data in Brief, 55: 110735, 2024.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Pc4c capsi: Image data of capsicum plant growth in protected horticulture.Data in Brief, 55: 110735, 2024
Reference 46
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 241e5cbf-be89-409c-b257-afb4c5109896 · outbound
This paper cites Shadrin, Victor Kulikov, and Maxim V.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Shadrin, Victor Kulikov, and Maxim V
Reference 47
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddfc14bf-7fb2-4f1e-a710-25236fc36bc0 · outbound
This paper cites Manually annotated and curated dataset of diverse weed species in maize and sorghum for computer vision.Scientific Data, 11(1):109, 2024.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Manually annotated and curated dataset of diverse weed species in maize and sorghum for computer vision.Scientific Data, 11(1):109, 2024
Reference 48
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb77bb05-af97-467b-a0be-956a387ab0b8 · outbound
This paper cites Dimech, Sameer Joshi, Hans D.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Dimech, Sameer Joshi, Hans D
Reference 49
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e125f9bc-90ff-4209-8c62-5a95776ac995 · outbound
This paper cites Multi-year belowground data of minirhizotron facilities in selhausen.Scientific Data, 10(1): 672, 2023.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Multi-year belowground data of minirhizotron facilities in selhausen.Scientific Data, 10(1): 672, 2023
Reference 50
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c6c0f52e-67df-4f0d-bd8c-cae3532a532f · outbound
This paper cites an unresolved cited work.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Unresolved cited work
Reference 51
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 45b6a849-7c30-4190-93ce-5b0b22463560 · outbound
This paper cites Hyperspectral time series datasets of maize during the grain filling period.BMC Research Notes, 15(1):152, 2022.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Hyperspectral time series datasets of maize during the grain filling period.BMC Research Notes, 15(1):152, 2022
Reference 52
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b09c03fe-07ac-4841-94bc-0f6ba4641aa9 · outbound
This paper cites The ’plantain-optim’ dataset: Agronomic traits of 405 plantains every 15 days from planting to harvest.Data in Brief, 17:671–680, 2018.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review The ’plantain-optim’ dataset: Agronomic traits of 405 plantains every 15 days from planting to harvest.Data in Brief, 17:671–680, 2018
Reference 53
- Resolution
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- doi, observed 2026-08-11T15:55:18.367755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1c85badd-c2ba-4343-9a92-25b9ffdc1b8b · outbound
This paper cites Experimental dataset of sugarcane-cover crop intercropping trials to control weeds in reunion island.Data in Brief, 48:109244, 2023.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Experimental dataset of sugarcane-cover crop intercropping trials to control weeds in reunion island.Data in Brief, 48:109244, 2023
Reference 54
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4e23f5c-b695-485b-b80e-7f8f1b564b13 · outbound
This paper cites A multiple species, continent-wide, million- phenotype agronomic plant dataset.Scientific data, 8(1):116, 2021.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review A multiple species, continent-wide, million- phenotype agronomic plant dataset.Scientific data, 8(1):116, 2021
Reference 55
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a371676-673b-490e-a2a2-591e9810e916 · outbound
This paper cites an unresolved cited work.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Unresolved cited work
Reference 56
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acecc3fd-54cb-47cf-8d8a-272c3f934cc0 · outbound
This paper cites Dataset of photosynthesis and pho- tosynthetic factors measurements of greenhouse tomato.Data in Brief, 32:106274, 2020.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Dataset of photosynthesis and pho- tosynthetic factors measurements of greenhouse tomato.Data in Brief, 32:106274, 2020
Reference 57
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b49ecac2-ff21-43cd-9fcf-2b71e3398383 · outbound
This paper cites an unresolved cited work.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Unresolved cited work
Reference 58
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5e4dc6d-e8aa-4d5e-8038-f388af5c74fe · outbound
This paper cites an unresolved cited work.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Unresolved cited work
Reference 59
- Resolution
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d8aee5ff-e05e-4bfc-8ba8-0d247f26e0ee · outbound
This paper cites Proteomic and tran- scriptomic profiling of aerial organ development in arabidopsis.Scientific Data, 7(1):334, 2020.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Proteomic and tran- scriptomic profiling of aerial organ development in arabidopsis.Scientific Data, 7(1):334, 2020
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- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a1db2dda-8ab9-4b5d-a534-c13a0a972292 · outbound
This paper cites doi:10.1016/j.dib.2021.107600.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review doi:10.1016/j.dib.2021.107600
Reference 61
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 710a61ed-0d35-4a3b-9b21-e412ce81df45 · outbound
This paper cites Transcriptome profiling of aerial and subterranean peanut pod development.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Transcriptome profiling of aerial and subterranean peanut pod development
Reference 62
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ebedcc35-14df-45f2-ab0d-4991e5315e46 · outbound
This paper cites Schnable.
Reference 63
- Resolution
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3e440dea-320b-442f-92de-42274d08f0a9 · outbound
This paper cites Anche, Nicholas Morales, Nicholas S.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Anche, Nicholas Morales, Nicholas S
Reference 64
- Resolution
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a7a5a4eb-722a-4517-acd0-87e663e96b24 · outbound
This paper cites Temporal covariance structure of multi-spectral phe- notypes and their predictive ability for end-of-season traits in maize.Theoretical and Applied Genetics, 133:2853–2868, 2020.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Temporal covariance structure of multi-spectral phe- notypes and their predictive ability for end-of-season traits in maize.Theoretical and Applied Genetics, 133:2853–2868, 2020
Reference 65
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7717a795-9666-4c10-842d-32b411be5493 · outbound
This paper cites In-field high throughput phenotyping and cotton plant growth analysis using lidar.Frontiers in Plant Science, 9:16, 2018.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review In-field high throughput phenotyping and cotton plant growth analysis using lidar.Frontiers in Plant Science, 9:16, 2018
Reference 66
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a77d9ab-17ce-49dc-ab59-5d21865367d4 · outbound
This paper cites Castro, J.
Reference 67
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78dcb2e4-28c7-489c-a07e-d891f71a6a5b · outbound
This paper cites Durbha, Ryokei Tanaka, Hiroyoshi Iwata, Milan O.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Durbha, Ryokei Tanaka, Hiroyoshi Iwata, Milan O
Reference 68
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d4982db-2e27-44b4-b38d-03029df68ad8 · outbound
This paper cites an unresolved cited work.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Unresolved cited work
Reference 69
- Resolution
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bb4388cf-1e22-4373-bfce-8279d9788f1b · outbound
This paper cites an unresolved cited work.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Unresolved cited work
Reference 70
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f5439764-90f3-46bb-8f39-69a9abd1d116 · outbound
This paper cites Campbell, Harkamal Walia, and Gota Morota.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Campbell, Harkamal Walia, and Gota Morota
Reference 71
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd98dfd8-6c27-4433-8cd8-26f0abfe54dc · outbound
This paper cites Spatio-temporal modeling of high-throughput multispectral aerial images improves agronomic trait genomic prediction in hybrid maize.Genetics, 227(1): iyae037, 03 2024.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Spatio-temporal modeling of high-throughput multispectral aerial images improves agronomic trait genomic prediction in hybrid maize.Genetics, 227(1): iyae037, 03 2024
Reference 72
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0219999e-71aa-47a3-83b8-304a78e60a91 · outbound
This paper cites P´ erez-Valencia, Mar ´ ıa Xos´ e Rodr ´ ıguez-´Alvarez, Martin P.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review P´ erez-Valencia, Mar ´ ıa Xos´ e Rodr ´ ıguez-´Alvarez, Martin P
Reference 73
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 18dafb7d-f2cb-4dce-a0c2-27c090f564a9 · outbound
This paper cites A one-stage approach for the spatio-temporal analysis of high-throughput phe- notyping data.Journal of Agricultural, Biological and Environmental Statistics, pages 1–23,.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review A one-stage approach for the spatio-temporal analysis of high-throughput phe- notyping data.Journal of Agricultural, Biological and Environmental Statistics, pages 1–23,
Reference 74
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2f1ae20-d136-4095-8467-7ee6b747e645 · outbound
This paper cites an unresolved cited work.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Unresolved cited work
Reference 75
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dcd8e3a0-a151-4c8d-9092-8098c18bce91 · outbound
This paper cites Spatial regression models for field trials: a comparative study and new ideas.Frontiers in plant science, 13:858711, 2022.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Spatial regression models for field trials: a comparative study and new ideas.Frontiers in plant science, 13:858711, 2022
Reference 76
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19aed200-c950-4416-8c50-46983b2b5d3e · outbound
This paper cites Collinearity: a review of methods to deal with it and a simulation study evaluating their performance.Ecography, 36(1):27–46, 2013.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Collinearity: a review of methods to deal with it and a simulation study evaluating their performance.Ecography, 36(1):27–46, 2013
Reference 77
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7765bece-6e51-472a-a6f0-f00ae44a209a · outbound
This paper cites What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models.Biopsychosocial Science and Medicine, 66(3):411–421,.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models.Biopsychosocial Science and Medicine, 66(3):411–421,
Reference 78
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95d251eb-83a1-4f68-abee-8a7e04d12e07 · outbound
This paper cites The temporal overfitting problem with applications in wind power curve modeling.Technometrics, 65(1):70–82, 2023.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review The temporal overfitting problem with applications in wind power curve modeling.Technometrics, 65(1):70–82, 2023
Reference 79
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af8f9425-0286-4e32-afdb-a58414276b28 · outbound
This paper cites Mapping and Predicting Non-Linear Brassica rapa Growth Phenotypes Based on Bayesian and Frequentist Complex Trait Es- timation.G3 Genes—Genomes—Genetics, 8(4):1247–1258, 04 2018.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Mapping and Predicting Non-Linear Brassica rapa Growth Phenotypes Based on Bayesian and Frequentist Complex Trait Es- timation.G3 Genes—Genomes—Genetics, 8(4):1247–1258, 04 2018
Reference 80
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 824aab69-14a2-4e75-81c2-3508dc53d8d1 · outbound
This paper cites Optimal Inference After Model Selection.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Optimal Inference After Model Selection
Reference 81
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23c15740-53e1-4733-8022-33941656aae8 · outbound
This paper cites Universally sloppy parameter sensitivities in systems biology models.PLoS computational biology, 3(10):e189, 2007.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Universally sloppy parameter sensitivities in systems biology models.PLoS computational biology, 3(10):e189, 2007
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- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60a7cb81-3cf5-470c-96e6-5e7a584ebecc · outbound
This paper cites Springer, 2000.
Reference 83
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee8779b5-d34e-4eeb-9484-4c42e1972b2c · outbound
This paper cites Plant growth prediction through intelligent embedded sensing.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Plant growth prediction through intelligent embedded sensing
Reference 84
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2130f422-b1dd-4776-80c8-9ab052764fb2 · outbound
This paper cites an unresolved cited work.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Unresolved cited work
Reference 85
- Resolution
- verified exact
- doi, observed 2026-08-11T15:55:18.170394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 99d7d37c-e3f6-424f-ac72-0cc995fa5cda · outbound
This paper cites Growth dynamics and heritability for plant high- throughput phenotyping studies using hierarchical functional data analysis.Biometrical Jour- nal, 63(6):1325–1341, 2021.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Growth dynamics and heritability for plant high- throughput phenotyping studies using hierarchical functional data analysis.Biometrical Jour- nal, 63(6):1325–1341, 2021
Reference 86
- Resolution
- verified exact
- doi, observed 2026-08-11T15:55:18.160027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8828e86f-7907-48c6-9005-c7394c90b92f · outbound
This paper cites Forecast evaluation for data scientists: common pitfalls and best practices.Data Mining and Knowledge Discovery, 37(2):788–832, 2023.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Forecast evaluation for data scientists: common pitfalls and best practices.Data Mining and Knowledge Discovery, 37(2):788–832, 2023
Reference 87
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c6bd8120-66cf-43c9-ac25-a46401790c50 · outbound
This paper cites Matsumura, C.
Reference 88
- Resolution
- verified exact
- doi, observed 2026-08-11T15:55:18.141672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0579cc6d-7ca5-4f04-8b72-0f5e68eaaae2 · outbound
This paper cites On overfitting and post-selection uncertainty assessments.Biometrika, 105(1):221–224, 2018.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review On overfitting and post-selection uncertainty assessments.Biometrika, 105(1):221–224, 2018
Reference 89
- Resolution
- verified exact
- doi, observed 2026-08-11T15:55:18.204373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e60b3537-c093-4afb-aa2d-ceb59ee4d750 · outbound
This paper cites Using deep learning to predict plant growth and yield in greenhouse environments.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Using deep learning to predict plant growth and yield in greenhouse environments
Reference 90
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc11867e-cb5a-4b97-9241-4e3f4a1e6b04 · outbound
This paper cites Deep learning based prediction on greenhouse crop yield combined tcn and rnn.Sensors, 21(13), 2021.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Deep learning based prediction on greenhouse crop yield combined tcn and rnn.Sensors, 21(13), 2021
Reference 91
- Resolution
- verified exact
- doi, observed 2026-08-11T15:55:18.120097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3a9bf758-9b9b-4851-919e-dd42cfa4f05c · outbound
This paper cites An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth.Information Sciences, 560:35–50, 2021.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth.Information Sciences, 560:35–50, 2021
Reference 92
- Resolution
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Unavailable: canonical work link unavailable.
Observation 5bef2e23-a426-4268-adb2-59ad1bdbf507 · outbound
This paper cites Attention Is All You Need.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Attention Is All You Need
Reference 93
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:55:17.478310Z
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Unavailable: canonical work link unavailable.
Observation 4e626ef7-ceee-477f-b215-e7ed010896c2 · outbound
This paper cites King, Vianey Leos-Barajas, Joanna Mills Flemming, Anders Nielsen, Giovanni Petris, and Len Thomas.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review King, Vianey Leos-Barajas, Joanna Mills Flemming, Anders Nielsen, Giovanni Petris, and Len Thomas
Reference 94
- Resolution
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- no resolver link, observed 2026-08-11T15:55:17.481506Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 350cb9c5-7ac2-4d24-8b3e-14a428d4353f · outbound
This paper cites Kalman filtering for accurate and fast plant growth dynam- ics assessment.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Kalman filtering for accurate and fast plant growth dynam- ics assessment
Reference 95
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:55:17.484126Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3527caa5-25e9-44d1-80b0-10f39e631ab0 · outbound
This paper cites Full bayesian inference in hidden markov models of plant growth.The Annals of Applied Statistics, 16(4):2352–2368, 2022.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Full bayesian inference in hidden markov models of plant growth.The Annals of Applied Statistics, 16(4):2352–2368, 2022
Reference 96
- Resolution
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- doi, observed 2026-08-11T15:55:18.085708Z
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6e1f4864-cd27-4a63-934e-28c9084a64b9 · outbound
This paper cites Shibata, R.
Reference 97
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- verified exact
- doi, observed 2026-08-11T15:55:18.076755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 760c7c8e-01fb-4915-a1b5-a783e43ac7cc · outbound
This paper cites Development of growth estimation algo- rithms for hydroponic bell peppers using recurrent neural networks.Horticulturae, 7(9):284,.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Development of growth estimation algo- rithms for hydroponic bell peppers using recurrent neural networks.Horticulturae, 7(9):284,
Reference 98
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4dc91c69-15af-4dce-a482-be6558a044ae · outbound
This paper cites an unresolved cited work.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Unresolved cited work
Reference 99
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- verified exact
- doi, observed 2026-08-11T15:55:18.130894Z
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Observation 73e27395-9ab0-48a6-b6e3-572917e98660 · outbound
This paper cites Toward transpar- ent ai: A survey on interpreting the inner structures of deep neural networks.
Predictive Modeling, Pattern Recognition, and Spatiotemporal Representations of Plant Growth in Simulated and Controlled Environments: A Comprehensive Review Toward transpar- ent ai: A survey on interpreting the inner structures of deep neural networks
Reference 100
- Resolution
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- no resolver link, observed 2026-08-11T15:55:17.501435Z
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Unavailable: canonical work link unavailable.
Pith citing papers
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