Agricultural System Models in Field Research and Technology Transfer

Agricultural System Models in Field Research and Technology Transfer

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ISBN 9781566705639
Cat# L1563
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ISBN 9781420032413
Cat# LE1563
 

Features

  • Presents current research and future direction in the field of agricultural system modeling
  • Provides guidance on the use of models to improve agricultural management decisions and technology transfer to farmers and ranchers
  • Proposes an international modular modeling computer framework to assist agricultural system scientists with building problem-specific models in the future
  • Draws on the expertise of an international panel of agricultural system scientists
  • Summary

    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.

    Table of Contents

    Whole System Integration and Modeling - Essential to Agricultural Science and Technology in the 21st Century, L. R. Ahuja, L. Ma, and T. A. Howell
    Forage-Livestock Models for the Australian Livestock Industry, J.R. Donnelly, R. J. Simpson, L. Salmon, A.D. Moore, M. Freer, and H. Dove
    Applications of Cotton Simulation Model, GOSSYM, for Crop Management, Economic and Policy Decisions, K. R. Reddy, V. G. Kakani, J. M. McKinion, and D. N. Baker
    Experience with On-Farm Applications of GLYCIM/GUICS, D. Timlin, Y. Pachepsky, F. Whisler, and V. Reddy
    Benefits of Models in Research and Decision Support: The IBSNAT Experience, G. Y.Tsuji, A. duToit, A. Jintrawet, J. W. Jones, W. T. Bowen, R. M. Ogoshi, and G. Uehara
    Decision Support Tools for Improved Resource Management and Agricultural Sustainability, U. Singh, P. W. Wilkens, W. E. Baethgen, and T. S. Bontkes
    An Evaluation of RZWQM, CROPGRO, and CERES-Maize for Responses to Water Stress in the Central Great Plains of the U.S., L. Ma, D. C. Nielson, L. R. Ahuja, J. R. Kiniry, J. D. Hanson, and G. Hoogenboom
    The Co-evolution of the Agricultural Production Systems Simulator (APSIM) and its use in Australian Dryland Cropping Research and Farm Management Intervention, R. L. McCown, B. A. Keating, P. S. Carberry, Z. Hochman, and D. Hargreaves
    Applications of Crop Growth Models in the Semi-Arid Regions, M. V. K. Sivakumar and A. F. Glinni
    Applications of Models with Different Spatial Scale, J. R. Kiniry, J. G. Arnold, and Y. Xie
    Modeling Crop Growth and Nitrogen Dynamics for Advisory Purposes Regarding Spatial Variability, K.C. Kersebaum, K. Lorenz, H. I. Reuter, and O. Wendroth
    Addressing Spatial Variability in Crop Model Applications, E. J. Sadler, E. M. Barnes, W.D. Batchelor, J. Paz, and A. Irmak
    Topographic Analysis, Scaling, and Models to Evaluate Spatial/Temporal Variability of Landscape Processes and Management, L. R. Ahuja, T. R. Green, R. H. Erskine, L. Ma, J. C. Ascough, G. H. Dunn, and M. J. Scaffer
    Parameterization of Agricultural System Models: Current Approaches and Future Needs, L. R. Ahuja and L. Ma
    The Object Modeling System, O. David, S. L. Markstrom, K. W. Rojas, L. R. Ahuja, and I. W.. Schneider
    Future Research to Fill Knowledge Gaps, J. L. Hatfield and B. A. Kimball

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