mlsanityData to 7 Oct 2026

An open access repository of images on plant health to enable the development of mobile disease diagnostics

arXiv 1511.08060 ↗First posted 25 Nov 2015cs.CYcited by 132

Not on the map. Why?

Abstract (arXiv)

Human society needs to increase food production by an estimated 70% by 2050 to feed an expected population size that is predicted to be over 9 billion people. Currently, infectious diseases reduce the potential yield by an average of 40% with many farmers in the developing world experiencing yield losses as high as 100%. The widespread distribution of smartphones among crop growers around the world with an expected 5 billion smartphones by 2020 offers the potential of turning the smartphone into a valuable tool for diverse communities growing food. One potential application is the development of mobile disease diagnostics through machine learning and crowdsourcing. Here we announce the release of over 50,000 expertly curated images on healthy and infected leaves of crops plants through the existing online platform PlantVillage. We describe both the data and the platform. These data are the beginning of an on-going, crowdsourcing effort to enable computer vision approaches to help solve the problem of yield losses in crop plants due to infectious diseases.

Key facts. Cited by 132 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Nov 2015.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 21; 2022: 18; 2023: 20; 2024: 22; 2025: 28; 2026: 23.

132 papers.

Sort:

By area:

  1. 2021Explaining in Style: Training a GAN to explain a classifier in StyleSpacecited by 122
  2. 2023Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classificationcited by 29
  3. 2024AgroGPT: Efficient Agricultural Vision-Language Model with Expert Tuningcited by 23
  4. 2024A Practitioner's Guide to Continual Multimodal Pretrainingcited by 22
  5. 2024Semantic Residual Prompts for Continual Learningcited by 19
  6. 2024Benchmarking In-the-wild Multimodal Disease Recognition and A Versatile Baselinecited by 19
  7. 2024A Second-Order Perspective on Model Compositionality and Incremental Learningcited by 18
  8. 2021LARGE: Latent-Based Regression through GAN Semanticscited by 17
  9. 2023Label-Efficient Learning in Agriculture: A Comprehensive Reviewcited by 16
  10. 2021FF-NSL: Feed-Forward Neural-Symbolic Learnercited by 15
  11. 2021Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classificationcited by 15
  12. 2024PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentationcited by 14
38 more
  1. 2024Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and Diseasescited by 14
  2. 2021Semantic Segmentation with Labeling Uncertainty and Class Imbalancecited by 12
  3. 2024Snap and Diagnose: An Advanced Multimodal Retrieval System for Identifying Plant Diseases in the Wildcited by 12
  4. 2025MIRAGE: A Benchmark for Multimodal Information-Seeking and Reasoning in Agricultural Expert-Guided Conversationscited by 12
  5. 2023DMLR: Data-centric Machine Learning Research -- Past, Present and Futurecited by 11
  6. 2025AgriGPT-VL: Agricultural Vision-Language Understanding Suitecited by 11
  7. 2022Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classificationcited by 10
  8. 2021Better Self-training for Image Classification through Self-supervisioncited by 9
  9. 2022Provable concept learning for interpretable predictions using variational autoencoderscited by 9
  10. 2022A Continual Development Methodology for Large-scale Multitask Dynamic ML Systemscited by 9
  11. 2021Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detectioncited by 7
  12. 2022Standardizing and Centralizing Datasets to Enable Efficient Training of Agricultural Deep Learning Modelscited by 7
  13. 2021Leaf Image-based Plant Disease Identification using Color and Texture Featurescited by 6
  14. 2022Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approachcited by 6
  15. 2022A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculturecited by 6
  16. 2022Explainable vision transformer enabled convolutional neural network for plant disease identification: PlantXViTcited by 5
  17. 2024Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Visioncited by 5
  18. 2021Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methodscited by 4
  19. 2022Image Quality Assessment for Foliar Disease Identification (AgroPath)cited by 4
  20. 2023An Efficient Transfer Learning-based Approach for Apple Leaf Disease Classificationcited by 4
  21. 2025MangoLeafViT: Leveraging Lightweight Vision Transformer with Runtime Augmentation for Efficient Mango Leaf Disease Classificationcited by 4
  22. 2025DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Datacited by 4
  23. 2025Tomato Multi-Angle Multi-Pose Dataset for Fine-Grained Phenotypingcited by 4
  24. 2025AgriGPT-Omni: A Unified Speech-Vision-Text Framework for Multilingual Agricultural Intelligencecited by 4
  25. 2021PANDA : Perceptually Aware Neural Detection of Anomaliescited by 3
  26. 2021Multi-Domain Few-Shot Learning and Dataset for Agricultural Applicationscited by 3
  27. 2022Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Reviewcited by 3
  28. 2023Plant Disease Detection using Region-Based Convolutional Neural Networkcited by 3
  29. 2023MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculturecited by 3
  30. 2024Self-supervised transformer-based pre-training method with General Plant Infection datasetcited by 3
  31. 2024Context-Aware Multimodal Pretrainingcited by 3
  32. 2024Explaining in Diffusion: Explaining a Classifier Through Hierarchical Semantics with Text-to-Image Diffusion Modelscited by 3
  33. 2025PlantExpertVQA: A Visual Question Answering Dataset for Benchmarking Vision-Language Models in Plant Sciencecited by 3
  34. 2021Brittle Features May Help Anomaly Detectioncited by 2
  35. 2021Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detectioncited by 2
  36. 2022Uncovering bias in the PlantVillage datasetcited by 2
  37. 2022A Multiagent Framework for the Asynchronous and Collaborative Extension of Multitask ML Systemscited by 2
  38. 2023Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruptioncited by 2

50 most cited of 132 All 132 (JSON)