Decision support system for agrotechnology transfer: DSSAT v3

Decision support system for agrotechnology transfer: DSSAT v3

1998 | J. W. JONES, G.Y. TSUJI, G. HOOGENBOOM, L.A. HUNT, P.K. THORNTON, P.W. WILKENS, D.T. IMAMURA, W.T. BOWEN, U. SINGH
The paper introduces the Decision Support System for Agrotechnology Transfer (DSSAT), a microcomputer software package developed by an international team of scientists. DSSAT is designed to estimate production, resource use, and risks associated with different crop production practices. It includes crop-soil simulation models, databases for weather, soil, and crops, and strategy evaluation programs integrated with a user-friendly interface. The system aims to provide agricultural decision-makers with the information needed to understand the outcomes of their decisions and develop plans and policies that meet their goals. The paper outlines the rationale for DSSAT's design, its main limitations, and its potential applications in spatial decision support systems for site-specific farming, farm planning, and regional policy. DSSAT also facilitates scientific cooperation through research to enhance its capabilities and apply it to various research questions, thereby reducing the time and human resources required for analyzing complex decisions. The introduction highlights the importance of DSSAT in addressing the challenges of sustainable agriculture, particularly in the context of finite land resources and growing population demands.The paper introduces the Decision Support System for Agrotechnology Transfer (DSSAT), a microcomputer software package developed by an international team of scientists. DSSAT is designed to estimate production, resource use, and risks associated with different crop production practices. It includes crop-soil simulation models, databases for weather, soil, and crops, and strategy evaluation programs integrated with a user-friendly interface. The system aims to provide agricultural decision-makers with the information needed to understand the outcomes of their decisions and develop plans and policies that meet their goals. The paper outlines the rationale for DSSAT's design, its main limitations, and its potential applications in spatial decision support systems for site-specific farming, farm planning, and regional policy. DSSAT also facilitates scientific cooperation through research to enhance its capabilities and apply it to various research questions, thereby reducing the time and human resources required for analyzing complex decisions. The introduction highlights the importance of DSSAT in addressing the challenges of sustainable agriculture, particularly in the context of finite land resources and growing population demands.
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