A digital twin framework for proactive disease management in paddy cultivation using spatio-temporal graph neural networks
构建水稻数字孪生框架，用时空图神经网络提前14天预测病害。
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Machine Learning-Based Decision Support System for Greenhouse Crop Management Under Mite Infestation Conditions
为斯里兰卡温室农户开发基于机器学习的决策支持系统，预测螨害并优化作物管理。
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IoT-Enhanced forecasting and early warning system for whitefly incidence in greenhouses
构建物联网增强的温室白粉虱发生预测预警系统。
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Machine Learning-Based Prediction of Fall Armyworm (Spodoptera frugiperda) Outbreaks in Maize Production Systems of Northern Nigeria Using Climate and Remote Sensing Data
用气候与遥感数据构建机器学习模型预测尼日利亚北部玉米草地贪夜蛾暴发。
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