Plant Disease Classification

Overview

Plant disease classification studies how to identify diseases from leaf, canopy, and other crop images, helping growers detect problems and guide treatment. Common approaches include convolutional neural networks, vision transformers, ensembles, and vision-language models, with transfer learning, few-shot learning, and semi-supervised methods used when labeled examples are scarce. Lightweight models, distillation, and quantization target mobile and edge devices, while attention maps, segmentation, and multimodal sensing can help explain or ground predictions. A central challenge is that strong results on controlled datasets often do not transfer to varied field conditions, where differences in lighting, crops, labels, and data collection can undermine accuracy and reliability.

Latest papers

CardsList

62 papers11 papers in the last four weeks, up 38% on the four weeks before. 0.1% of all new papers.

  1. NEEDL-Bench: Dataset for Swiss Needle Cast and Stomata Detection in Microscopy Images

    Jul 13, 2026Benjamin Blake, Declan McIntosh, Jürgen Ehlting +3Plant Disease ClassificationSmall Object Detection

  2. Pixel-Precise Explainable Stress Indexing: A Semantic Segmentation Framework for Disease Severity Quantification in Field Crops

    Jul 5, 2026Raunak Kumar, Soumyashree KarAgricultural Image AnalysisImage Segmentation

  3. Cross-Architectural Mixture-of-Experts with Adaptive Soft Routing for Plant Leaf Disease Classification

    Jun 22, 2026Phi-Hung Hoang, Thi-Thu-Hong PhanPlant Disease ClassificationMixture-of-Experts Models

  4. Few-Shot Hyperspectral Aphid Detection via FastGAN Synthetic Data Generation, Transformer-Based Classification and Explainable AI

    Jun 19, 2026Ali SaeidanAgricultural Image AnalysisSynthetic Data Augmentation

  5. Enhancing Precision Agriculture with a Hybrid Deep Learning Framework for Multi-Class Plant Disease Classification and Interpretability

    Jun 13, 2026Hasibul Islam Sufi, Ridam Roy, Shayla Alam Setu +1Plant Disease ClassificationHybrid CNN-Transformer Architectures

  6. An Ensemble Deep Learning Approach for Reliable and Scalable Lemon Leaf Disease Classification

    Jun 12, 2026Shayan Abrar, Sudeepta Mandal, Abdul Awal Yasir +4Plant Disease ClassificationExplainable Image Classification

  7. CottonLeafVision: An Explainable and Robust Deep Learning Framework for Cotton Leaf Disease Classification

    Jun 12, 2026Rafi Ahamed, Md. Abir Rahman, Tasnia Tarannum Roza +3Plant Disease ClassificationExplainable Image Classification

  8. AgriMind: An Ensemble Deep Learning Framework for Multi-Class Plant Disease Classification

    May 15, 2026Salma Hoque Talukdar Koli, Fahima Haque Talukder JelyPlant Disease ClassificationEnsemble Learning

  9. SAGE: Scalable Agentic Grounded Evaluation for Crop Disease Diagnosis

    May 10, 2026Muhammad Arbab Arshad, Tirtho Roy, Yanben Shen +7VLM EvaluationAgricultural Image Analysis

  10. AgriKD: Cross-Architecture Knowledge Distillation for Efficient Leaf Disease Classification

    May 2, 2026Minh-Dung Le, Minh-Duc Hoang, Hoang-Vu Truong +1Efficient Neural Network InferencePlant Disease Classification

  11. Developing a Strong Pre-Trained Base Model for Plant Leaf Disease Classification

    May 2, 2026David J. RichterPlant Disease ClassificationTransfer Learning

  12. GourNet: A CNN-Based Model for Mango Leaf Disease Detection

    Apr 30, 2026Ekram Alam, Jaydip Sanyal, Akhil Kumar Das +2Plant Disease Classification

  13. Energy-Efficient Plant Monitoring via Knowledge Distillation

    Apr 29, 2026Ilyass Moummad, Reda Bensaid, Kawtar Zaher +5Plant Disease ClassificationEnergy-Efficient ML

  14. Performance and Energy Trade-Off Analysis of Hierarchical Federated Learning for Plant Disease Classification

    Apr 28, 2026Athanasios Papanikolaou, Athanasios Tziouvaras, Pavlos Stoikos +6Hierarchical Federated LearningPlant Disease Classification

  15. Thinking Like a Botanist: Challenging Multimodal Language Models with Intent-Driven Chain-of-Inquiry

    Apr 22, 2026Syed Nazmus Sakib, Nafiul Haque, Shahrear Bin Amin +4Visual Question AnsweringPlant Disease Classification

  16. Evaluating Histogram Matching for Robust Deep learning-Based Grapevine Disease Detection

    Apr 21, 2026Ruben Pascual, Inés Hernández, Salvador Gutiérrez +4Distribution Shift RobustnessImage Enhancement

  17. A Resource-Efficient Hybrid CNN-LSTM network for image-based bean leaf disease classification

    Apr 15, 2026Hye Jin Rhee, Joseph Damilola AkinyemiPlant Disease ClassificationLightweight CNNs

  18. AgriChain Visually Grounded Expert Verified Reasoning for Interpretable Agricultural Vision Language Models

    Apr 9, 2026Hazza Mahmood, Yongqiang Yu, Rao AnwerCoT SupervisionPlant Disease Classification

  19. TeaLeafVision: An Explainable and Robust Deep Learning Framework for Tea Leaf Disease Classification

    Apr 8, 2026Rafi Ahamed, Sidratul Moon Nafsin, Md Abir Rahman +3Plant Disease ClassificationConvolutional Neural Networks

  20. DenseSwinV2: Channel Attentive Dual Branch CNN Transformer Learning for Cassava Leaf Disease Classification

    Mar 26, 2026Shah Saood, Saddam Hussain KhanPlant Disease ClassificationHybrid CNN-Transformer Architectures

  21. Improving Fine-Grained Rice Leaf Disease Detection via Angular-Compactness Dual Loss Learning

    Mar 26, 2026Md. Rokon Mia, Rakib Hossain Sajib, Abdullah Al Noman +2Plant Disease ClassificationFine-Grained Image Classification

  22. Active Robotic Perception for Disease Detection and Mapping in Apple Trees

    Mar 24, 2026Hayden Feddock, Francisco Yandun, Srđan Aćimović +1Robotic InspectionActive Perception

  23. Tiny-ViT: A Compact Vision Transformer for Efficient and Explainable Potato Leaf Disease Classification

    Mar 23, 2026Shakil Mia, Umme Habiba, Urmi Akter +4Plant Disease ClassificationEfficient ViTs

  24. AgriChat: A Multimodal Large Language Model for Agriculture Image Understanding

    Mar 14, 2026Abderrahmene Boudiaf, Irfan Hussain, Sajid JavedAgricultural Image AnalysisVision-Language Models

  25. AgriPath: A Systematic Exploration of Architectural Trade-offs for Crop Disease Classification

    Mar 8, 2026Hamza Mooraj, George Pantazopoulos, Alessandro SugliaContrastive Learning for VLMsPlant Disease Classification

  26. XMACNet: An Explainable Lightweight Attention based CNN with Multi Modal Fusion for Chili Disease Classification

    Mar 6, 2026Tapon Kumer Ray, Rajkumar Y, Shalini R +3Plant Disease ClassificationLightweight CNNs

  27. XAI and Few-shot-based Hybrid Classification Model for Plant Leaf Disease Prognosis

    Mar 3, 2026Diana Susan Joseph, Pranav M Pawar, Raja Muthalagu +1Plant Disease ClassificationFew-Shot Image Classification