A hybrid machine learning model decodes the complexity of rice nitrogen responses amidst climate change in the Yangtze Delta, China
收藏Figshare2025-11-18 更新2026-04-08 收录
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https://figshare.com/articles/dataset/A_hybrid_machine_learning_model_decodes_the_complexity_of_rice_nitrogen_responses_amidst_climate_change_in_the_Yangtze_Delta_China/30643805/1
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资源简介：
We integrate multi-source data—including 162 field experiments, climate variables, and soil properties—to develop a hybrid random-forest and economic-benefit model that quantifies rice basal yield, the highest-yield nitrogen (N) rate (YHNR), and the economically optimal N rate (EONR) in the Yangtze River Delta (YRD), and projects their changes under future climate scenarios.
提供机构：
Sun, Jiabei; Cai, Siyuan; Zhao, Xu
创建时间：
2025-11-18
