Architecture diverse TabNet ensemble for crop type classification using harmonized multisource soil data（基于多源土壤数据融合的架构多样性TabNet集成作物类型分类）
构建架构多样性TabNet集成，用多源土壤数据分类7类作物。
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#土壤数据
Soil physical data integration in commercial precision agriculture platforms: barriers to compaction-relevant decision support
Soil physical data integration in commercial precision agriculture platforms: barriers to compaction-relevant decision support。OpenAlex
Zenodo (CERN European Organization for Nuclear Research)·9月22日 · 周二71 分 论文农业AI与大模型农业人工智能与决策模型2 个信源同时报道 阅读 2
Design and Implementation of an Ensemble Learning Based Decision Support Model for Crop Selection in Precision Agriculture
提出SCR-XGB五层框架，用梯度提升树集成从土壤和气候参数推荐作物。
Artificial Intelligence-Based Crop Recommendation Using Soil and Climate Data: A Comprehensive Review of Machine Learning, Deep Learning, and Smart Agriculture Approaches
综述AI作物推荐研究，指出高准确率多源于数据与验证缺陷。
An optimized machine learning approach for reliable agronomic parameter prediction in precision farming systems
提出优化机器学习框架，用土壤环境数据预测农艺参数并分类菠菜生长阶段。
Orthogonal delineation of site-specific management zones using soil data: A multi-property optimization approach
提出多属性优化方法，利用土壤数据正交划分特定地点管理分区。