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• W75755970 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." @default.
• W75755970 created "2016-06-24" @default.
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• W75755970 date "2013-01-01" @default.
• W75755970 modified "2023-09-23" @default.
• W75755970 title "Stochastic simulation of maize productivity: spatial and temporal uncertainty" @default.
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• W75755970 doi "https://doi.org/10.3920/978-90-8686-778-3_34" @default.
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