Climate prediction uses computer modeling and other sophisticated weather analysis techniques to look beyond short-term weather forecasting and provide information about general trends in weather in the future. It can be used as a management tool, to help make decisions about which crops to plant, which varieties to use and when to plant and harvest them.
Climate prediction can also aid in long-term decision making about equipment and infrastructure. For example, CP can improve the accuracy of cost/benefit analysis for installing an irrigation system, purchasing or leasing additional land, or adding climate control to buildings where animals are raised.
Recommendations for scheduling copper applications in citrus groves based on rainfall and fruit growth
Recommendations for timing fungicide applications for Anthracnose and Botrytis fruit rot
Crop yield time series and trend lines according to the USDA/NASS database (available for the same crops listed in the regional maps)
Estimate chill accumulation (45°F and specific models for blueberry, strawberry, and peach) at the county level during El Niño, La Niña, and Neutral years.
Complete list of AgroClimate's decision aid tools.