Plant Disease Classification

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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

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

  1. Enhancing Deep Learning Model Performance through Data Generation Strategies: Classification of Olive Tree Diseases

    Oct 26, 2026Hicham El Akhal, Abderrahim Waga, Aissa Ben Yahya +1Synthetic Data AugmentationPlant Disease Classification

    Computer Science and Applications Laboratory, Faculty of Sciences, Moulay Ismail University of Meknes, PB 11201 Zitoune, Meknes, 50000, Morocco . · Euromed University of Fez, Fez, Morocco .

  2. GANet: A Lightweight Group Attention Network for Plant Disease Identification on Embedded Systems

    Oct 21, 2026Anubhab Tripathi, Bibek Das, Asfak Ali +1Plant Disease ClassificationLightweight CNNs

    Department of Electronics and Telecommunication Engineering, Jadavpur University, Kolkata, India

  3. Precision Cotton Disease Management: Leveraging UAV Imagery and Custom YOLO Deep Learning Framework for Enhanced Detection

    Oct 16, 20261. Anwar Iqbal*1 aiqbal. rime23smme@student. nust. edu. pk 2. Kunwar Faraz Ahmad Khan1 kunwar. faraz@smme. nust. edu. pk 3. Shahbaz Khan1 shahbaz. khan@smme. nust. edu. pk 4. Khawaja Fahad Iqbal1 fahad. iqbal@smme. nust. edu. pk 5. Sara Ali1, 2 sara. baber@smme. nust. edu. pk 6. Saqib Nazir1 saqib. nazir@smme. nust. edu. pk 7. Muhammad Azhar Javed3 muhammadazhar6231@gmail. com 1 Department of Robotics, Artificial Intelligence +11Efficient Object DetectionPlant Disease Classification

    NUST

  4. A100: A Hybrid Vision Foundation Model for Agricultural Plant Image Analysis

    Oct 16, 2026Mayur Pratim Das, Ajai Dubey, Aksshay Mathew P +5Agricultural Image AnalysisVision Foundation Models

    Annam.AI, IIT Ropar Rupnagar, India · IIT Ropar Rupnagar, India · Dept. of DSE, IISER Bhopal Bhopal, India +1

  5. Detection of Potato Plant Leaf Diseases using Convolutional Neural Networks

    Oct 14, 2026Haimanot Bitew Alemayehu, Simachew Melaku Ayalew, Chilotie Desalew Mengesha +3Plant Disease ClassificationConvolutional Neural Networks

    College of Engineering & Technology, Injibara University, Ethiopia

  6. Uncertainty-Aware Semi-Supervised Framework with Supervised Contrastive Learning for Sugarcane Leaf Disease Detection

    Oct 13, 2026Shalini Dangi, Divya Teja, Omkar Kabde +2Plant Disease ClassificationSemi-Supervised Learning

    Indian Institute of Technology Indore, Madhya Pradesh, India · Chaitanya Bharathi Institute of Technology, Telangana, India

  7. Use Of Convolutional Neural Networks In Detection Of Branch Dieback Disease In Pequi Trees

    Oct 10, 2026Ronilson Rodrigues Pinho, Elua Ramos Coutinho, Nilza de Lima Pereira Sales +2Plant Disease ClassificationConvolutional Neural Networks

    Federal University of Rio de Janeiro – UFRJ- Institute of Computing – IC - Postgraduate Program in Informatics - PPGI- Rio de Janeiro, 20010-974, Brazil · Federal Center for Technological Education Celso Suckow da Fonseca- CEFET-RJ-BSI- Rio de Janeiro, RJ, 20785-220, Brazil · Fluminense Federal University – UFF - Instituto de Ciência e Tecnologia – Rio das Ostras - RJ - 28895-532, Brazil +1

  8. A Swarm-Coordinated Multi-Robot System for Early Stress Detection in Agricultural Rows Using Multimodal Leaf Sensing

    Oct 6, 2026Rishi Gupta, Astha Goyal, Vinay VishwakarmaPlant Disease ClassificationAgricultural Remote Sensing

    Delhi Public School Vasant Kunj, New Delhi, India · Assistant Professor, University of Delhi · Mentor, On My Own Technology Pvt. Ltd, Mumbai, India

  9. Environmental sensor readings in two crop disease image datasets identify the session in which each image was taken

    Oct 5, 2026Sungwoo KangData LeakagePlant Disease Classification

    Department of Electrical and Computer Engineering, Korea University Seoul, Republic of Korea

  10. A Data-Centric Review of Plant Disease Datasets: Taxonomy, Critical Analysis, Environmental Variability, and Implications for Precision Agriculture

    Oct 5, 2026Aamir Hilal, Shabir Ahmad Sofi, Neeraj GoelClass-Imbalanced LearningPlant Disease Classification

    Department of Information Technology, National Institute of Technology, Hazratbal Srinagar 190006, Jammu & Kashmir, India · Department of Computer Science and Engineering, Indian Institute of Technology, Ropar Rupnagar 140001, Punjab, India

  11. Multi-Crop Leaf Disease Recognition: A Unified Benchmark and Cross-Region Study

    Oct 3, 2026Rosemary Nalwanga, Sebastian Bunda, Godliver Owomugisha +2Plant Disease ClassificationCross-Domain Generalization

    Data Management and Biometrics University of Twente Enschede, Netherlands · Department of Computer Engineering Busitema University Tororo, Uganda

  12. AgroGround: Multi-Granularity Grounded Recognition in Agriculture

    Oct 3, 2026Abdulla Alshehhi, Zongyan Han, Rao Muhammad AnwerAgricultural Image AnalysisVision-Language Grounding

    Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi, United Arab Emirates

  13. Cross-Dataset Generalization of Bangladeshi Rice Leaf Disease Classifiers: Benchmark, Diagnosis, and Mitigation

    Sep 20, 2026Anindya PaulCross-Dataset GeneralizationPlant Disease Classification

    Department of Computer Science and Engineering BRAC University, Dhaka, Bangladesh

  14. Configurable Multi-Stage Vision Pipeline for Crop Disease and Pest Diagnosis

    Sep 18, 2026Naga Ganesh, Chandrashekar M S, Lakshmi Pedapudi +2Agricultural Image AnalysisPlant Disease Classification

    Digital Green

  15. A Multi-Modal Generative Model for Tomato Disease Leaves Understanding

    Sep 17, 2026Khang Nguyen Quoc, Minh-Phuoc Tran, Gia-Han Truong +1Plant Disease ClassificationMultimodal QA

  16. CoAtNet-DeepMoE: A Convolution-Attention Hybrid with DeepSeek Mixture-of-Experts for Parameter-Efficient Tomato Disease Classification

    Sep 16, 2026Md Nadim Mahamood, Md Arif Shahriar, Md Shafi Ud Doula +1Plant Disease ClassificationHybrid CNN-Transformer Architectures

    Department of Computer Science and Engineering Begum Rokeya University Rangpur, Bangladesh · Department of Computer Science Texas State University San Marcos, Texas, USA · Department of Information and Communication Technologies Asian Institute of Technology Pathum Thani, Thailand

  17. When Ground-Truth Fidelity Matters: An Orchestrated UAS Framework for Wheat Streak Mosaic Virus Detection Using Vision Transformers and Machine Learning

    Sep 10, 2026Dewi Endah Kharismawati, Sandeep Dhakal, Courtney E. McCusker +3Plant Disease ClassificationLearning with Noisy Labels

    Department of Food, Agricultural, and Biological Engineering, The Ohio State University, Columbus, OH, 43210, USA · Corn, Soybean and Wheat Quality Research Unit, USDA Agricultural Research Service, 1680 Madison Ave., Wooster, OH, 44691, USA

  18. AgroVisNet: A lightweight Convolutional Network and the BD-PlantDX Expert-Validated Benchmark for Radish, Potato and Pointed Gourd Disease Classification

    Sep 9, 2026Md. Abdullah Mandal, Saad Ahmed, Md. Khalid SyfullahPlant Disease ClassificationLightweight CNNs

    Department of Computer Science and Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh · Department of Computer Science and Engineering, Bangladesh Army University of Science & Technology, Saidpur, Bangladesh

  19. Vision-language models see more about agriculture than they report, and test-time scaling remains bounded by parametric knowledge

    Sep 8, 2026Earl Ranario, Jared Smith, Lars Lundqvist +3Agricultural Image AnalysisPlant Disease Classification

    University of California, Davis

  20. Lightweight Vision Transformer Compression for On-Device Plant Disease Detection in Resource-Constrained Agricultural Field Conditions

    Sep 4, 2026Mahadev Sunil Kumar, Bhavika Gondi, Desaisetty Venkata Satya Sai Swapnith +6QuantizationModel Compression

    Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, India · Amrita School of Agricultural Sciences, Amrita Vishwa Vidyapeetham, Coimbatore, 642109, Tamil Nadu, India · Intel Corporation, Santa Clara, California, USA +2

  21. BananaVLM: A Domain-Adapted Vision Language Model for Banana Crop Disease Diagnosis

    Aug 27, 2026Sangam Kumar Jena, Pandarasamy ArjunanPlant Disease ClassificationVLM Adaptation

    Department of Cyber-Physical Systems Indian Institute of Science Bangalore 560 012, India

  22. Cross-Architecture Knowledge Distillation from a Vision Foundation Model to a Lightweight Visual State Space Model for Tea Leaf Disease Classification

    Aug 27, 2026Zibo Zhou, Zongsen Qiu, Rui Chen +3Cross-Architecture Knowledge DistillationVisual SSMs

  23. CropCop: An Auditable 120-Class Plant-Health Model from Benchmark Reconstruction to a Quantised Runtime Artifact

    Aug 26, 2026Rana Muhammad Ahmed, Sabahat AbbasAgricultural Image AnalysisPlant Disease Classification

    Department of Computer Science, Bahria University Islamabad, Islamabad, Pakistan

  24. Fusing Perceptual Vision Experts with Multimodal LLMs for Explainable Plant Disease Diagnosis: From Benchmark Imagery to Real-World Robotic Field Validation

    Aug 23, 2026Ranjan Sapkota, Konstantinos I. Roumeliotis, Pengyao Xie +3Plant Disease ClassificationExplainable Image Classification

    Cornell University, Department of Biological and Environmental Engineering, Ithaca, 14850, NY, USA · University of the Peloponnese, Department of Informatics and Telecommunications, Tripoli, 22131, Greece · Agricultural University of Athens, Department of Agribusiness and Supply Chain Management, Athens, 11855, Greece

  25. Shortcut Learning in a Public Grape Disease Dataset: Annotation Granularity as a Modulator, Not a Cause

    Aug 21, 2026Pushuo WangShortcut LearningAgricultural Image Analysis

    Shenyang Institute of Technology · School of Information and Control Engineering, Shenyang Institute of Technology, Fushun, Liaoning, China

  26. A Dataset-Centric Benchmark of Deep Learning Methods for Grape Leaf Disease Classification and Detection

    Aug 20, 2026Petar Canoski, Vlatko Spasev, Ivica Dimitrovski +2Plant Disease ClassificationAgricultural Image Analysis

    Faculty of Computer Science and Engineering, University Ss Cyril and Methodius, ul. Rudzer Boshkovikj 16, P.O. 393, Skopje, 100, North Macedonia

  27. LightTeaNet: A Weakly Supervised Lightweight CNN for Multi-Label Tea Leaf Disease Detection and Localization

    Aug 14, 2026Naif Haider Chowdhury, Md Rahim, Syed Farhan Hasan +2Plant Disease ClassificationMulti-Label Classification

    Department of Computer Science & Engineering, Leading University, Kamal Bazar, Sylhet, 3112, Sylhet, Bangladesh.

  28. AdapterMoE: A Two-Stage Hard-Routing Mixture-of-Experts Architecture for Multi-Crop Disease Recognition with Calibrated Rejection and Incremental Learning

    Aug 9, 2026Pin-Hsun Huang, Shaou-Gang MiaouClass-Incremental LearningPlant Disease Classification

    Department of Electronic Engineering, Chung Yuan Christian University, Taoyuan, Taiwan

  29. TomaMMU: A Comprehensive Multimodal Understanding Benchmark for Tomato Leaf Diseases

    Aug 9, 2026Gia-Han Truong, Khang Nguyen Quoc, Luyl-Da QuachVision-Language ModelsPlant Disease Classification

    Department of Information Technology, FPT University, Can Tho, Vietnam · School of Electrical Engineering, Korea University, Seoul, South Korea

  30. Design and Evaluation of an AI-Enabled Cloud-Edge Architecture for Connected Precision Agriculture Farms

    Aug 4, 2026Deckshitha Angadi, Koteshwar Goud Surga, Nagaraju Lakkaraju +6Plant Disease ClassificationEdge Computing

    AI, IoT and Robotics Lab (AIR Lab), UAVs Group, Autonomous Robotics Systems Limited, Hyderabad, India · Department of Microelectronics and VLSI Design, University of Hyderabad, Hyderabad, India · Department of Artificial Intelligence, ThoughtGreen Technologies Private Limited, Hyderabad, India +6