AGRICULTURAL SYSTEM MODELS in Field Research and Technology Transfer

• Main Authors: Ahuja, Lajpat R. (Author), Ma, Liwang (Author)
• Other Authors: Howell, Terry A. author
• Format: Book
• Language: English
• Published: Boca Raton LEWIS PUBLISHERS 2002
• Subjects: Agricultural systems > Computer simulation; Agriculture > Research > Computer simulation; Agriculture > Technology transfer > Computer simulation
• Online Access: Click Here to View Status and Holdings.

 Most books covering the use of computer models in agricultural management systems target only one or two types of models. There are few texts available that cover the subject of systems modeling comprehensively and that deal with various approaches, applications, evaluations, and uses for technology transfer. Agricultural System Models in Field Research and Technology Transfer fills this need. It presents the latest advances in the use of various computer models in agricultural management systems. This authoritative reference provides guidance on the use of models in field research, decision support, precision farming, and technology transfer to farmers and ranchers. Derived from an international symposium co-sponsored by the American Society of Agronomy, the Soil Science Society of America, and the USDA's Agricultural Research Service, it analyzes current system model applications for the modeling of natural resources, crop production, grazing lands, and animal production systems. Leading international agricultural system scientists present their experiences and provide guidance on how models can be used to enhance the quality of field research, transfer of research information and technology to farmers and ranchers, and decision support for agricultural management. They provide an expert review of the existing problems and possible solutions to improve future applications. In addition, Agricultural System Models in Field Research and Technology Transfer explores the possible use of an international modular computer framework to improve current modeling procedures in an effort to develop problem-specific models in the future.