Abstract
GOSSYM, a dynamic cotton (Gossypium hirsutum L.) crop simulation model is presented as a tool to increase efficiency of cotton management. The model simulates most of the physiological and physical processes affecting cotton growth, development and yield. It is also coupled with COMAX, an artificial intelligence expert system which assists in decision making for farm management. The model is used mainly for irrigation and nitrogen fertilization management and for plant growth regulators (PGR) application, based on daily weather data, soil physical and chemical characteristics of each site and some cultural characteristics. It has a proven potential for increasing profitability and is used in USA, where it was established and validated, in commercial farm management. Its uses as a tool for the cotton farm manager will be demonstrated in this paper.
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