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Knowledge-guided machine learning for improving crop yield projections of waterlogging effects under climate change 知识引导的机器学习在提高气候变化下水淹效应对作物产量预测中的应用 Li, Linchao; He, Qinsi; Harrison, Matthew Tom; Feng, Puyu; Wang, Bin; Zhang, Yajie; Li, Yi; Liu, De Li; Yang, Guijun; Zhou, Meixue; Yu, Qiang 分享 收藏
Grassland irrigation and grazing prohibition have significantly affected vegetation and microbial diversity by changing soil temperature and moisture, evidences from a 6 years experiment of typical temperate grassland Lin, Xi; Zhao, Hongbin; Zhang, Shengwei; He, Qinsi; Huete, Alfredo; Yang, Lin; Zhang, Xiaoduo; Zhang, Xiaofu; Zhang, Qidi; Cai, Simeng 分享 收藏
Optimizing cover crop practices as a sustainable solution for global agroecosystem services Qiu, Tianyi; Shi, Yu; Penuelas, Josep; Liu, Ji; Cui, Qingliang; Sardans, Jordi; Zhou, Feng; Xia, Longlong; Yan, Weiming; Zhao, Shuling; Peng, Shushi; Jian, Jinshi; He, Qinsi; Zhang, Wenju; Huang, Min; Tan, Wenfeng; Fang, Linchuan 分享 收藏
A food-energy-water-carbon nexus framework informs region-specific optimal strategies for agricultural sustainability 食物-能源-水-碳关系框架为特定区域的农业可持续性提供了最佳策略 He, Qinsi; Liu, De Li; Wang, Bin; Wang, Zikui; Cowie, Annette; Simmons, Aaron; Xu, Zhenci; Li, Linchao; Shi, Yu; Liu, Ke; Harrison, Matthew Tom; Waters, Cathy; Huete, Alfredo; Yu, Qiang 分享 收藏
Modelling interactions between cowpea cover crops and residue retention in Australian dryland cropping systems under climate change He, Qinsi; Li Liu, De; Wang, Bin; Simmons, Aaron; Waters, Cathy; Li, Linchao; Feng, Puyu; Li, Yi; Cowie, Annette; de Voil, Peter; Huete, Alfredo; Yu, Qiang 分享 收藏
Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia 确定有效的农业管理措施以适应和缓解气候变化: 澳大利亚东南部的双赢战略 He, Qinsi; Liu, De Li; Wang, Bin; Li, Linchao; Cowie, Annette; Simmons, Aaron; Zhou, Hongxu; Tian, Qi; Li, Sien; Li, Yi; Liu, Ke; Yan, Haoliang; Harrison, Matthew Tom; Feng, Puyu; Waters, Cathy; Li, Guangdi D.; de Voil, Peter; Yu, Qiang 分享 收藏
Developing machine learning models with multi-source environmental data to predict wheat yield in China 利用多源环境数据开发机器学习模型预测中国小麦产量 Li, Linchao; Wang, Bin; Feng, Puyu; Liu, De Li; He, Qinsi; Zhang, Yajie; Wang, Yakai; Li, Siyi; Lu, Xiaoliang; Yue, Chao; Li, Yi; He, Jianqiang; Feng, Hao; Yang, Guijun; Yu, Qiang 分享 收藏
Crop yield forecasting and associated optimum lead time analysis based on multi-source environmental data across China 基于中国多源环境数据的作物产量预测和相关的最佳提前期分析 Li, Linchao; Wang, Bin; Feng, Puyu; Wang, Huanhuan; He, Qinsi; Wang, Yakai; Liu, De Li; Li, Yi; He, Jianqiang; Feng, Hao; Yang, Guijun; Yu, Qiang 分享 收藏
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