A multi-disciplinary approach for the precision management of lodging risk

P. Berry, A. Blackburn, M. Sterling, Y. Miao, D. Hatley, D. Gullick, G. Joseph, D. Whyatt, D. Soper, J. Murray, C. Baker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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 languageEnglish (US)
Title of host publicationPrecision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019
EditorsJohn V. Stafford
PublisherWageningen Academic Publishers
Pages969-975
Number of pages7
ISBN (Electronic)9789086863372
DOIs
StatePublished - 2019
Externally publishedYes
Event12th European Conference on Precision Agriculture, ECPA 2019 - Montpellier, France
Duration: Jul 8 2019Jul 11 2019

Publication series

NamePrecision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019

Conference

Conference12th European Conference on Precision Agriculture, ECPA 2019
CountryFrance
CityMontpellier
Period7/8/197/11/19

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).

Keywords

  • Agronomy
  • Lodging
  • Remote sensing
  • Risk prediction
  • Wind engineering

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