农业装备与车辆工程2026，Vol.64Issue(8)：1-11,11.DOI:10.3969/j.issn.1673-3142.2026.08.001
基于多源数据融合的大豆||玉米带状复合种植土壤水分动态模拟与预测
Dynamic simulation and prediction of soil moisture in soybean-maize strip intercropping based on multi-source data fusion
摘要
Abstract
Accurate simulation of soil moisture dynamics and the consequent formulation of reasonable irrigation management strategies are identified as the key prerequisites for improving the production efficiency and crop water use efficiency of the soybean-maize strip intercropping system.A typical soybean-maize strip intercropping system in the Huang-Huai-Hai region was selected as the research object.Field experiments were conducted in Tai'an City,Shandong Province,during 2024-2025,with different irrigation thresholds and planting strip configurations being set.A soil water transport mechanism model was constructed based on the dynamic inversion of the crop coefficient Kc using NDVI,and a long short-term memory(LSTM)network-based soil moisture prediction model was also developed.The results indicated that the mechanism model based on NDVI-derived Kc could accurately characterize the dynamic changes in soil moisture,with the coefficients of determination(R2)for soil moisture simulation being 0.942 and 0.947 for soybean and maize,respectively.The LSTM model,which integrated multi-source data for soil moisture prediction,achieved an R2 of 0.789 on the test set.Through the established collaborative framework combining the mechanism model and the data-driven model,both interpretability and predictive performance were taken into account.Thereby,a theoretical basis and technical support were provided for precision irrigation management in the soybean-maize strip intercropping system.关键词
大豆||玉米带状复合种植/作物系数/土壤水分运移模型/长短期记忆网络/多源数据融合Key words
soybean-maize strip intercropping/crop coefficient/soil water movement model/long short-term memory network/multi-source data fusion分类
农业科技引用本文复制引用
李金叶,王旭冲,王帅,丁文浩,张金诺,于胜男,陈国庆..基于多源数据融合的大豆||玉米带状复合种植土壤水分动态模拟与预测[J].农业装备与车辆工程,2026,64(8):1-11,11.基金项目
山东省重点研发计划(重大科技创新工程)项目(2023CXGC010703) （重大科技创新工程）
黄河流域粮油复合种植深度节水模型构建及应用示范 （）
山东省重点研发计划(科技型中小企业创新能力提升工程)项目:"关键技术研发与示范以及多源数据驱动的作物水分精准管控技术创新支持及应用示范"(2024TSGC0038) （科技型中小企业创新能力提升工程）
