A simple and parsimonious generalised additive model for predicting wheat yield in a decision support tool

Kefei Chen, Rebecca A. O'Leary and Fiona H. Evans

Agricultural Systems, 2019, vol. 173, issue C, 140-150

Abstract: Yield prediction is a major determinant of many management decisions for crop production. Farmers and their advisors want user-friendly decision support tools for predicting yield. Simulation models can be used to accurately predict yield, but they are complex and difficult to parameterise. The goal of this study is to build a simple and parsimonious model for predicting wheat yields that can be implemented in a decision tool to be used by farmers at a paddock level.

Keywords: Yield prediction; Waterlogging; Precision farming; Crop modelling; Crop water relations; Decision support (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:173:y:2019:i:c:p:140-150

DOI: 10.1016/j.agsy.2019.02.009

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