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Uncertainty is more than a number or colour: Involving experts in uncertainty assessments of yield gaps

René L.M. Schils, George A.K. van Voorn, Patricio Grassini and Martin K. van Ittersum

Agricultural Systems, 2022, vol. 195, issue C

Abstract: Yield gap analysis plays an important role in determining potential food availability. The Global Yield Gap Atlas maps yield gaps of crops from point to regional scale across the globe. The calculated yield gaps are based on comparisons between modelled potential yields with actual farmers' yields derived from statistical sources. The calculations are subject to uncertainty due to various sources, including measurement errors, modelling limitations, and scaling issues.

Keywords: Crop modelling; Expert elicitation; Food production; Potential yield; Uncertainty; Yield gap (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:195:y:2022:i:c:s0308521x2100264x

DOI: 10.1016/j.agsy.2021.103311

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Agricultural Systems is currently edited by J.W. Hansen, P.K. Thornton and P.B.M. Berentsen

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