Climate-Based Decision Support Tools for Agriculture

Autor: Aaron P. Sims, Ameenulla Syed, Ashley N. Frazier, Sethu Raman, Mark S. Brooks, Ryan Boyles
Rok vydání: 2011
Předmět:
Zdroj: Challenges and Opportunities in Agrometeorology ISBN: 9783642193590
DOI: 10.1007/978-3-642-19360-6_18
Popis: Farmers consider many variables in making agricultural decisions. The farmer must often choose his inputs for the production function before variables such as weather are known. The uncertainties associated with weather can however be mitigated with the use of decision support tools. As the specific relationships of weather, disease development and crop maturity are determined through research, the value of weather-based decision support tools becomes more evident. The State Climate Office of North Carolina (SCO) at North Carolina State University, USA has successfully developed several agricultural decision support systems. These include climate-based decision support tools for peanuts, strawberries, cucurbits, turfgrass and tobacco. All are built in collaboration with agricultural scientists who have expertise in each respective crop. Real-time and historical data from the North Carolina Environment and Climate Observing Network (ECONet) in conjunction with high-resolution numerical models support the availability of the tools.
Databáze: OpenAIRE