WOFOST
Definition
WOFOST (World Food Studies) is a computer-based simulation model designed to quantify the growth and production of annual field crops by integrating physiological, environmental, and agricultural management factors.
Key Characteristics
- Simulates growth for various crops including field beans, maize, potatoes, rice, and soybeans.
- Evaluates the impact of both exogenous (climate, soil) and endogenous (farming techniques, crop genetics) factors on productivity.
- Acts as a decision-support tool for agricultural planning and long-term climate change adaptation.
- Facilitates sectoral-level analysis for resilient agricultural production.
Applications
- Agricultural resource management and production forecasting.
- Planning and adjustment of farming techniques to mitigate the adverse effects of climate change.
- Providing data-driven insights for sectoral-level adaptation in the agricultural sector.
Mentions in Source
- “An important example of the role of ICT in climate change adaptation is highlighted by the agricultural sector. Tools like WOFOST (developed by the Centre for World Food Studies along with University of Wageningen), GOSSYM (the Universities of Clemson and Mississippi and the Agriculture Department of United States) can be used to simulate the growth of food crops (field bean, maize, potato, rice …” — ITU-T L.1501 (Adaptation Best Practices)