SEMEARE Computational Methodology

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.