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Developing climate-based decision support systems from agricultural systems models

Code: 9781786765222
Clyde W. Fraisse, University of Florida-Gainesville, USA; Norman E. Breuer, Catholic University Nuestra Señora de la Asunción, Paraguay; and Victor Cabrera, University of Wisconsin-Madison, USA

Chapter synopsis: Decision Support Systems (DSSs) in production agriculture are computer software programs that make use of models and other information to make site-specific recommendations for farm management-related activities. Major advances have been made in developing DSS for agriculture, particularly with respect to incorporating climate forecasts into farmers’ decision-making process. This chapter describes DSSs in agriculture, focussing on the importance of a participatory approach in DSS development. The chapter offers examples of climate-based DSS for crop and land management, pest and disease management, and livestock (dairy) management. The chapter reflects on lessons learned in the process of developing climate-based DSS. Finally, the chapter looks ahead to future research trends in this area.

DOI: 10.19103/AS.2019.0061.15
Table of contents 1 Introduction 2 Importance of a participatory approach in DSS development 3 Examples of climate-based DSSs for crop and land management 4 Examples of climate-based DSSs for pest and disease management 5 Examples of climate-based DSSs for livestock (dairy) management 6 Lessons learned on the development of climate-based DSSs 7 Future trends and conclusion 8 Where to look for further information 9 References

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