Multi-source data assimilation of Sentinel-2 reflectance and SMAP soil moisture into APSIM for maize biomass estimation
将Sentinel-2反射率与SMAP土壤水分同化进APSIM模型，提升玉米生物量估算精度。
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没有这个标签，内容接近Characterising climate mitigation and adaptation performance in oil palm plantation: evidence from Indonesia
用APSIM模型模拟印尼油棕园碳平衡与产量，评估其气候减缓与适应表现。
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A formal approach to crop modeling: Automatic code generation and grid simulation using finite state automata
提出用有限状态自动机形式化作物模型，自动生成代码并模拟网格作物生长。
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Platform for Smart Agriculture -Research and Technological Innovation PlaSmA Research Group (PRG) Platform for Smart Agriculture -Research and Technological Innovation
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Breeding rice for optimal maturity across diverse sowing windows under future climate change scenarios in Chongqing area
用APSIM-Rice与CMIP6情景模拟重庆不同播期和品种水稻产量、耗水与水分利用效率。
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Intelligent Detection System for Rice Pests and Diseases Based on UAV and Deep Learning
研发基于无人机与轻量YOLO的水稻病虫害智能检测系统Agri-IntelliDet。
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Crop-GPA 2.0:安徽农业大学团队发布跨物种基因-表型预测深度学习工具,登The Crop Journal
安徽农业大学团队发布跨物种基因-表型预测深度学习工具Crop-GPA 2.0，并在水稻、玉米、小麦中
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Cross-Regional Classification of Rice Cropping Systems Based on Within-Year Seasonal Composition Using Multimodal Remote-Sensing Time Series
提出多模态遥感时序框架，实现跨区域水稻种植制度八分类。
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