风险管理
计算机科学
精准农业
环境科学
纪律
风险分析(工程)
遥感
环境资源管理
业务
地质学
农业
地理
财务
社会科学
社会学
考古
作者
P.M. Berry,Alan Blackburn,Mark Sterling,Yuxin Miao,D. Hatley,David Gullick,Genora Joseph,Duncan Whyatt,David Soper,J. Murray,Chris Baker
标识
DOI:10.3920/978-90-8686-888-9_119
摘要
This paper describes how wind engineering, geospatial science and crop agronomy disciplines can be combined to provide a decision support system for farmers to manage lodging risk, using the Crop Failure Assessment due to Lodging Losses (CROPFALL) framework. CROPFALL calculates lodging risk using information about topography, land cover, soil type and meteorological data, combined with a mechanistic model of lodging, and crop parameters. The risk of lodging is calculated at regional, farm, field and sub-field scales. The impact of crop management changes on lodging risk is simulated, demonstrating that modest crop management changes can achieve large reductions in lodging risk.
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