mlsanityData to 14 Oct 2026

PlantDoc: A Dataset for Visual Plant Disease Detection

arXiv 1911.10317 ↗First posted 23 Nov 2019cs.CV eess.IVcited by 68

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Abstract (arXiv)

India loses 35% of the annual crop yield due to plant diseases. Early detection of plant diseases remains difficult due to the lack of lab infrastructure and expertise. In this paper, we explore the possibility of computer vision approaches for scalable and early plant disease detection. The lack of availability of sufficiently large-scale non-lab data set remains a major challenge for enabling vision based plant disease detection. Against this background, we present PlantDoc: a dataset for visual plant disease detection. Our dataset contains 2,598 data points in total across 13 plant species and up to 17 classes of diseases, involving approximately 300 human hours of effort in annotating internet scraped images. To show the efficacy of our dataset, we learn 3 models for the task of plant disease classification. Our results show that modelling using our dataset can increase the classification accuracy by up to 31%. We believe that our dataset can help reduce the entry barrier of computer vision techniques in plant disease detection.

Key facts. Cited by 68 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 Nov 2019.

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Citing papers per year: 2022: 3; 2023: 11; 2024: 12; 2025: 20; 2026: 22.

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  1. 2023BioCLIP: A Vision Foundation Model for the Tree of Lifecited by 161
  2. 2022ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Modelscited by 141
  3. 2025BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learningcited by 50
  4. 2023Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classificationcited by 30
  5. 2024AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Modelscited by 30
  6. 2024Leveraging Vision Language Models for Specialized Agricultural Taskscited by 25
  7. 2024AgroGPT: Efficient Agricultural Vision-Language Model with Expert Tuningcited by 24
  8. 2025AgroBench: Vision-Language Model Benchmark in Agriculturecited by 20
  9. 2023Cascade-DETR: Delving into High-Quality Universal Object Detectioncited by 19
  10. 2024Benchmarking In-the-wild Multimodal Disease Recognition and A Versatile Baselinecited by 19
  11. 2025AgMMU: A Comprehensive Agricultural Multimodal Understanding Benchmarkcited by 16
  12. 2023InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Imagescited by 15
38 more
  1. 2024PlantSeg: A Large-Scale In-the-wild Dataset for Plant Disease Segmentationcited by 14
  2. 2024The Role of Foundation Models in Neuro-Symbolic Learning and Reasoningcited by 12
  3. 2022Standardizing and Centralizing Datasets to Enable Efficient Training of Agricultural Deep Learning Modelscited by 7
  4. 2025Vision Transformers in Precision Agriculture: A Comprehensive Surveycited by 6
  5. 2025A Vision-Language Foundation Model for Leaf Disease Identificationcited by 6
  6. 2022The Power of Transfer Learning in Agricultural Applications: AgriNetcited by 5
  7. 2026LeafNet: A Large-Scale Dataset and Comprehensive Benchmark for Foundational Vision-Language Understanding of Plant Diseasescited by 5
  8. 2023Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustnesscited by 4
  9. 2025Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive Settingcited by 4
  10. 2024RAFA-Net: Region Attention Network For Food Items And Agricultural Stress Recognitioncited by 3
  11. 2025iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7M Images of 2,959 Crop and Weed Speciescited by 3
  12. 2025PlantExpertVQA: A Visual Question Answering Dataset for Benchmarking Vision-Language Models in Plant Sciencecited by 3
  13. 2025BioCAP: Exploiting Synthetic Captions Beyond Labels in Biological Foundation Modelscited by 3
  14. 2023CWD30: A Comprehensive and Holistic Dataset for Crop Weed Recognition in Precision Agriculturecited by 2
  15. 2023Machine Learning for Leaf Disease Classification: Data, Techniques and Applicationscited by 2
  16. 2023Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approachescited by 2
  17. 2024CLIP Adaptation by Intra-modal Overlap Reductioncited by 2
  18. 2024PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Networkcited by 2
  19. 2025ConMamba: Contrastive Vision Mamba for Plant Disease Detectioncited by 2
  20. 2025SFOOD: A Multimodal Benchmark for Comprehensive Food Attribute Analysis Beyond RGB with Spectral Insightscited by 2
  21. 2023Batch Model Consolidation: A Multi-Task Model Consolidation Frameworkcited by 1
  22. 2025DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Datacited by 1
  23. 2025An efficient plant disease detection using transfer learning approachcited by 1
  24. 2025Mobile-Friendly Deep Learning for Plant Disease Detection: A Lightweight CNN Benchmark Across 101 Classes of 33 Cropscited by 1
  25. 2026Energy-Efficient Plant Monitoring via Knowledge Distillationcited by 1
  26. 2026Performance and Energy Trade-Off Analysis of Hierarchical Federated Learning for Plant Disease Classificationcited by 1
  27. 2026TomaMMU: A Comprehensive Multimodal Understanding Benchmark for Tomato Leaf Diseasescited by 1
  28. 2023Improving the performance of object detection by preserving label distributioncited by 0
  29. 2023Early and Accurate Detection of Tomato Leaf Diseases Using TomFormercited by 0
  30. 2024An EcoSage Assistant: Towards Building A Multimodal Plant Care Dialogue Assistantcited by 0
  31. 2024On Supernet Transfer Learning for Effective Task Adaptationcited by 0
  32. 2024Spatial Transformer Network YOLO Model for Agricultural Object Detectioncited by 0
  33. 2025Beyond the Encoder: Joint Encoder-Decoder Contrastive Pre-Training Improves Dense Predictioncited by 0
  34. 2025Domain Adaptation for Big Data in Agricultural Image Analysis: A Comprehensive Reviewcited by 0
  35. 2025PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifierscited by 0
  36. 2025Multi-output Deep-Supervised Classifier Chains for Plant Pathologycited by 0
  37. 2025StateSpace-SSL: Linear-Time Self-supervised Learning for Plant Disease Detectioncited by 0
  38. 2025PSMamba: Progressive Self-supervised Vision Mamba for Plant Disease Recognitioncited by 0

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