SEMEARE Computational Methodology
Computational methodology for defining sowing periods for agricultural crops
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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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