Forecasting future individual-tree growth using explainable machine learning across northern Chinese larch forests
用可解释机器学习预测中国北方落叶松林单木未来生长。
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#决策树
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没有这个标签，内容接近Adaptive Ensemble Machine Learning Framework for Robust Prediction, Classification, and Intelligent Decision Support Across Heterogeneous Data Domains
提出自适应异构动态集成框架AHDE-DS，实现跨异构数据的鲁棒预测、分类与智能决策支持。
智慧农业 / 农业物联网农业人工智能
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GRID PATROL COPILOT: An AI-Powered Patrol Intelligence Framework for Transmission Line Fault Localization and Field Response Optimization
提出AI巡检智能框架，将故障信息转为可执行的现场巡检建议。
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A machine learning model for estimating tree age based on trunk radius and radial growth rate
提出基于树干半径和径向生长率的机器学习模型，实现多树种年龄估算。
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Integrating remote sensing and machine learning for forest fire susceptibility mapping in Peninsular Malaysia: the spatio-temporal sampling tree (STS-T)
提出时空采样树算法STS-T，用于马来西亚半岛森林火灾易发性制图，兼顾精度与可解释性。
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Integrating Machine Learning, Deep Learning and Robotics for Intelligent Information Management and Decision Support
综述机器学习、深度学习与机器人融合的智能信息管理与决策支持系统。
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Random Forest–Based Integrated Crop Recommendation and NPK-Driven Fertilizer Decision Support System for Precision Agriculture
构建随机森林作物推荐与NPK施肥决策支持系统，实现精准农业选种施肥。
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Predictive Modelling of Deforestation Susceptibility in Sanjay Gandhi National Park Using Machine Learning and Remote Sensing Technologies
Predictive Modelling of Deforestation Susceptibility in Sanjay Gandhi National Park Using Machine Learning and Remote Sensing Technologies。Sensing and Imaging
农业遥感与作物表型遥感
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