Conceptual spatial crop models for potato production

H. Chen, I. Leinonen, B. Marshall, J.A. Taylor

Research output: Contribution to journalConference article

Abstract

Advances in agricultural machinery, information and sensor technology have led to an increasing amount of data that is available spatially both pre and within season. The case is compelling for the spatialisation of existing, non-spatial (field-scale) crop models that can accommodate this ‘big data’ and lead to more precise predictions of yield and quality and an improved field management. This study explores the conceptual spatial models based on the potato crop models that simulate crop physical and physiological processes and predict yields and graded yields at a field-scale. Through exploring the possible spatial scales and model application approaches considering spatial variation an optimal and more effective solution is expected. Issues concerning model quality and uncertainty are also discussed.
Original languageEnglish
Pages (from-to)678-683
Number of pages6
JournalAdvances in Animal Biosciences
Volume8
Issue number02
DOIs
Publication statusPrint publication - 1 Jun 2017
Externally publishedYes
Event11th European Conference on Precision Farming - Edinburgh, United Kingdom
Duration: 1 Jul 2017 → …

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    Chen, H., Leinonen, I., Marshall, B., & Taylor, J. A. (2017). Conceptual spatial crop models for potato production. Advances in Animal Biosciences, 8(02), 678-683. https://doi.org/10.1017/s2040470017000851