mlsanityData to 7 Oct 2026

A survey of datasets for computer vision in agriculture

arXiv 2502.16950 ↗First posted 24 Feb 2025cs.CVcited by 5

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Abstract (arXiv)

In agricultural research, there has been a recent surge in the amount of Computer Vision (CV) focused work. But unlike general CV research, large high-quality public datasets are sparsely available. This can be partially attributed to the high variability between different agricultural tasks, crops and environments as well as the complexity of data collection, but it is also influenced by the reticence to publish datasets by many authors. This, as well as the lack of a widely used agricultural data repository, are impactful factors that hinder research in applied CV for agriculture as well as the usage of agricultural data in general-purpose CV research. In this survey, we provide a large number of high-quality datasets of images taken on fields. Overall, we find 45 datasets, which are listed in this paper as well as in an online catalog on the project website: https://smartfarminglab.github.io/field_dataset_survey/.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 22 of its 69 references that are in the map. First posted on arXiv 24 Feb 2025.

Builds on

22 of 69 references.

References · 22

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10 more
  1. 2023PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domaincited by 31
  2. 2024FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Frameworkcited by 21
  3. 2017A Public Image Database for Benchmark of Plant Seedling Classification Algorithmscited by 20
  4. 2021Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systemscited by 15
  5. 2023SoybeanNet: Transformer-Based Convolutional Neural Network for Soybean Pod Counting from Unmanned Aerial Vehicle (UAV) Imagescited by 6
  6. 2023Crop identification using deep learning on LUCAS crop cover photoscited by 5
  7. 2022Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarkingcited by 4
  8. 2023Zoom in on the Plant: Fine-grained Analysis of Leaf, Stem and Vein Instancescited by 4
  9. 2024A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fieldscited by 3
  10. 2024Public Computer Vision Datasets for Precision Livestock Farming: A Systematic Surveycited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 4; 2026: 1.

5 papers.

  1. 2025PhytoSynth: Leveraging Multi-modal Generative Models for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approachcited by 2
  2. 2025AgriChrono: A Multi-modal Dataset Capturing Crop Growth and Lighting Variability with a Field Robotcited by 1
  3. 2025Maize Seedling Detection Dataset (MSDD): A Curated High-Resolution RGB Dataset for Seedling Maize Detection and Benchmarking with YOLOv9, YOLO11, YOLOv12 and Faster-RCNNcited by 1
  4. 2025AppleGrowthVision: A large-scale stereo dataset for phenological analysis, fruit detection, and 3D reconstruction in apple orchardscited by 0
  5. 2026Sesame Plant Segmentation Dataset: A YOLO Formatted Annotated Datasetcited by 0