Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:44:22.460387Z
Paper Citation Record · LEDGER
As of 12 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2411.16989.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:44:22.460387Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:36:42.350503Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:36:43.794743Z
56 of 56 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d39bf309-2278-42d7-b028-a014d3564eab · outbound
Reference 1
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Observation 65af187a-b448-4ddf-a0ac-0986871dbdf5 · outbound
CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Impact of meteorological drivers on regional inter-annual crop yield variability in france
Reference 2
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Ford, Shuaib Lwasa, Benon Nabaasa, and Ambrose Buyinza
Reference 3
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Unpacking the climatic drivers of US agricultural yields
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Chaloner, Sarah J
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers A computer vision system for early stage grape yield estimation based on shoot detection
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using fully convolutional networks
Reference 8
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Improving jujube fruit tree yield estimation at the field scale by assimilating a single landsat remotely-sensed lai into the wofost model
Reference 9
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Methods of crop estimation in grapes
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Detection and counting of on-tree citrus fruit for crop yield estimation
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Rice crop yield prediction using artificial neural networks
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Daily mapping of 30 m lai and ndvi for grape yield prediction in california vineyards
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers A precision viticulture uav-based approach for early yield prediction in vineyard
Reference 14
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Source-reported events for the cited work
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers A vision-based robust grape berry counting algorithm for fast calibration-free bunch weight estimation in the field
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Soybean yield estimation and its components: A linear regression approach
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Relationship between modis derived ndvi and yield of cereals for selected european countries
Reference 19
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of uav and ground-based geophysical imagery
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers High-resolution crop yield and water productivity dataset generated using random forest and remote sensing
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Large-scale spatio-temporal yield estimation via deep learning using satellite and management data fusion in vineyards
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers An overview of APSIM, a model designed for farming systems simulation
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers A cnn-rnn framework for crop yield prediction
Reference 24
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning
Reference 25
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers A million kernels of truth: Insights into scalable satellite maize yield mapping and yield gap analysis from an extensive ground dataset in the us corn belt
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Convolutional image captioning
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CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers Crop yield prediction using machine learning models: Case of irish potato and maize
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Reference 12
Source-reported events for the cited work
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