Berry, Pete and Blackburn, Alan and Sterling, Mark and Miao, Y. and Hatley, D. and Gullick, David and Joseph, G. and Whyatt, Duncan and Soper, D. and Murray, Jon and Baker, C. (2019) A Multi-disciplinary Approach for the Precision Management of Lodging Risk. In: Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019. Wageningen Academic Publishers, FRA, pp. 969-975. ISBN 9789086863372
Full text not available from this repository.Abstract
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.