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.
Original language | English (US) |
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Title of host publication | Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019 |
Editors | John V. Stafford |
Publisher | Wageningen Academic Publishers |
Pages | 969-975 |
Number of pages | 7 |
ISBN (Electronic) | 9789086863372 |
DOIs | |
State | Published - 2019 |
Event | 12th European Conference on Precision Agriculture, ECPA 2019 - Montpellier, France Duration: Jul 8 2019 → Jul 11 2019 |
Publication series
Name | Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019 |
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Conference
Conference | 12th European Conference on Precision Agriculture, ECPA 2019 |
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Country/Territory | France |
City | Montpellier |
Period | 7/8/19 → 7/11/19 |
Bibliographical note
Funding Information:This work was made possible through funding from the UK Biotechnology and Biological Sciences Research Council, UK (Grant Ref: BB/P004555/1).
Publisher Copyright:
© Wageningen Academic Publishers 2019
Keywords
- Agronomy
- Lodging
- Remote sensing
- Risk prediction
- Wind engineering