A practical collection on applying system theory to food and agriculture.
This volume gathers foundational papers from the 1976 IEEE Conference on Decision and Control, showing how interdisciplinary modeling helps analyze policy, markets, and production in agriculture.
The editors frame a growing field where technical, economic, and human factors meet. Readers will see how flexible, building-block models can address national and global agricultural questions while linking theory to real-world decision making.
- Foundations of system theory applied to agriculture and policy analysis
- Building-block modeling approaches that combine economics, technology, and behavior
- Case studies of national sectors, grain management, and farm systems modeling
- Discussions on model validation, scenario development, and information systems in agriculture
Ideal for readers of agricultural policy analysis, economics, and systems science who want a concise, practice-focused view of how modeling informs decision making in food and agriculture.