Abstract
There is an emerging interest in evaluating the uncertainty of agricultural production to enable the production process and decision making guidance. The main objective of this work was to estimate the spatial and temporal maize yield uncertainty using stochastic simulation techniques, including Sequential Gaussian Simulation. The results showed: (1) that it is possible to estimate the spatial and temporal dynamics of production based on one year’s data; (2) that the productivity variation in stochastic simulation has a higher amplitude in relation to real production data; (3) that the simulations allow approximate estimation of the productivity multi-year behaviour.
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The authors are very grateful to Eng. Castro Duarte for all his material and immaterial support.
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Grifo, A.R.L., Silva, J.M.d. (2013). Stochastic simulation of maize productivity: spatial and temporal uncertainty. In: Stafford, J.V. (eds) Precision agriculture ’13. Wageningen Academic Publishers, Wageningen. https://doi.org/10.3920/978-90-8686-778-3_34
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DOI: https://doi.org/10.3920/978-90-8686-778-3_34
Publisher Name: Wageningen Academic Publishers, Wageningen
Online ISBN: 978-90-8686-778-3
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