SEMEARE Computational Methodology
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This book presents SEMEARE, a methodology for defining sowing periods for agricultural crops, with four stages, including planning, modeling, experimentation, and decision making. For validation, MarkSimGCM, a climate data simulator, was used to generate daily data, and DSSAT, Version 4.5, with the CERES-Maize Model, was used to simulate corn crop growth. This work is based on a generic methodology, which allows the use of different agricultural crop simulation models and climate data, interacting with different decision support systems in the agricultural field.
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Beschrijving
Bol
This book presents SEMEARE, a methodology for defining sowing periods for agricultural crops, with four stages, including planning, modeling, experimentation, and decision making. For validation, MarkSimGCM, a climate data simulator, was used to generate daily data, and DSSAT, Version 4.5, with the CERES-Maize Model, was used to simulate corn crop growth. This work is based on a generic methodology, which allows the use of different agricultural crop simulation models and climate data, interacting with different decision support systems in the agricultural field.
Beschrijving
(2)
Bol
This book presents SEMEARE, a methodology for defining sowing periods for agricultural crops, with four stages, including planning, modeling, experimentation, and decision making. For validation, MarkSimGCM, a climate data simulator, was used to generate daily data, and DSSAT, Version 4.5, with the CERES-Maize Model, was used to simulate corn crop growth. This work is based on a generic methodology, which allows the use of different agricultural crop simulation models and climate data, interacting with different decision support systems in the agricultural field.
AmazonPages: 52, Paperback, Our Knowledge Publishing
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