SasyaVedha: A Soil-Aware and Climate-Resilient Agronomic Decision Support System for Indian Farms
构建SasyaVedha一体化农艺决策支持系统，集成病害识别、产量预测、灌溉、施肥与气候影响模拟。
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IoT-Based Smart Farm Protection and AI Crop Disease Detection System
提出低成本物联网农场防护与AI作物病害检测一体化网络平台。
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Evaluation of Concept-Probe Temporal-Stability Audits for Computer Vision Agriculture Disease Classifiers Under Seasonal Phenology Drift: An Interpretability Decay Bound for Smallholder Fungicide Timing
提出概念探针时间稳定性审计与可解释性衰减界，判断何时需重新审计。
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A HIERARCHICAL DISTRIBUTED EDGE AI FRAMEWORK FOR REAL-TIME APPLE LEAF DISEASE CLASSIFICATION
提出两级边缘AI框架，用RGB图像实时分类苹果叶片病害。
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KRISHI AI an AI and IoT-Enabled Smart Agricultural Decision Support and Equipment Management System
开发KRISHI AI平台，集成AI与IoT提供作物推荐、病害识别、天气信息和农机租赁服务。
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AGRISIGHT AI: A ConvNeXtV2-Based Deep Learning Framework for Crop Disease Classification with a Proposed Multimodal Extension for Precision Agriculture
AGRISIGHT AI: A ConvNeXtV2-Based Deep Learning Framework for Crop Disease Classification with a Proposed Multimodal Extension for Precision Agriculture。Research Square
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An Intelligent IoT-Based Framework for Plant Disease Detection and Crop Advisory Using CNN and ESP32
构建ESP32物联网与CNN结合的植物病害检测及作物咨询系统。
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基于QYmax叶绿素荧光成像和改进LCRNet模型的小麦白粉病智能识别与诊断,登Frontiers in Plant Science
用QYmax叶绿素荧光成像与改进LCRNet实现小麦白粉病高精度识别。
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Evidence integrity and review utility in crop-image decision support: an audit-to-review framework for precision agriculture
提出审计到评审框架，先固定证据身份再比较作物图像分类器，并关联预测不确定性与评审工作量。
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Bangladesh AI Model AgroVisNet Spots Crop Blight on Phones(轻量级 99.52% 准确率 0.46 MB 量化部署)
提出轻量网络AgroVisNet与BD-PlantDX数据集，实现手机端作物病害高精度识别。
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