Paper Citation Record · LEDGER

Automating grapevine LAI features estimation with UAV imagery and machine learning

As of 14 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2411.17897.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.17897 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:47:16.367079Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy12
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8391c033-4889-4bef-afe9-3830812e9617 · outbound

This paper cites An overview of global leaf area index (lai): Methods, products, validation, and applications.

Automating grapevine LAI features estimation with UAV imagery and machine learning An overview of global leaf area index (lai): Methods, products, validation, and applications

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:47:16.530636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 05937447-a31c-42fa-81b1-b292acde1d38 · outbound

This paper cites Applications of remote sensing in precision agriculture: A review.

Automating grapevine LAI features estimation with UAV imagery and machine learning Applications of remote sensing in precision agriculture: A review

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:47:16.519340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4e4d615b-1c76-4a5f-8c68-e61fbba4a019 · outbound

This paper cites Dynamic mapping of rice growth parameters using hj-1 ccd time series data.

Automating grapevine LAI features estimation with UAV imagery and machine learning Dynamic mapping of rice growth parameters using hj-1 ccd time series data

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:47:16.507765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5c3d4007-13c9-44b8-a58b-ea8ac4f2a322 · outbound

This paper cites Integration of a crop growth model and deep learning methods to improve satellite-based yield estimation of winter wheat in henan province, china.

Automating grapevine LAI features estimation with UAV imagery and machine learning Integration of a crop growth model and deep learning methods to improve satellite-based yield estimation of winter wheat in henan province, china

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:47:16.496236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 76d7714c-e7c4-4e08-8a79-c0a368741a16 · outbound

This paper cites A review of deep learning techniques used in agriculture.

Automating grapevine LAI features estimation with UAV imagery and machine learning A review of deep learning techniques used in agriculture

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:47:16.484609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4b66921f-0d28-49ab-a022-5c749744939b · outbound

This paper cites Machine learning in agriculture: A review.

Automating grapevine LAI features estimation with UAV imagery and machine learning Machine learning in agriculture: A review

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:47:16.473380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0048c628-f117-42e9-8d24-4c9d4caf019c · outbound

This paper cites Combining color indices and textures of uav-based digital imagery for rice lai estimation.

Automating grapevine LAI features estimation with UAV imagery and machine learning Combining color indices and textures of uav-based digital imagery for rice lai estimation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:47:16.461177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b545ebac-9b12-4ad4-a0c0-a65a640b5326 · outbound

This paper cites Esti- mating lai from winter wheat using uav data and cnns.

Automating grapevine LAI features estimation with UAV imagery and machine learning Esti- mating lai from winter wheat using uav data and cnns

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:47:16.448006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bdb31ac8-8126-41d1-abfc-42e25bddaaf4 · outbound

This paper cites Modeling maize above-ground biomass based on machine learning approaches using uav remote-sensing data.

Automating grapevine LAI features estimation with UAV imagery and machine learning Modeling maize above-ground biomass based on machine learning approaches using uav remote-sensing data

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:47:16.436094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ec4fad95-4b5f-4d7b-a842-e50a0cd84016 · outbound

This paper cites Environment 4.0: How digitalization and machine learning can improve the environmental footprint of the steel production processes.

Automating grapevine LAI features estimation with UAV imagery and machine learning Environment 4.0: How digitalization and machine learning can improve the environmental footprint of the steel production processes

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:47:16.423781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d23138cf-ae87-4055-83c6-e8dc5006e4d0 · outbound

This paper cites The role of lai and leaf chlorophyll on ndvi estimated by uav in grapevine canopies.

Automating grapevine LAI features estimation with UAV imagery and machine learning The role of lai and leaf chlorophyll on ndvi estimated by uav in grapevine canopies

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:47:16.411653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e9085f4e-41ba-4aeb-b318-be09e5f1b684 · outbound

This paper cites Extraction of yardang characteristics using object-based image analysis and canny edge detection methods.

Automating grapevine LAI features estimation with UAV imagery and machine learning Extraction of yardang characteristics using object-based image analysis and canny edge detection methods

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:47:16.399276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.