Agricultural production is risky because it depends on weather which can vary from day to day. Thus, the risk associated with agricultural production can potentially be reduced by using historic weather data for a particular location to plan strategically to take advantage of favorable weather conditions or to avoid adverse weather conditions. This study uses historic weather information to explore and develop optimal irrigation and planting date for irrigated corn, cotton, peanut and soybeans in Southwestern Georgia. The value of such weather information is also estimated for the Georgia AEMN weather station at Camilla by developing a methodology that is able to estimate the value of site-specific weather information. The methodology involves the use of DSSAT and GIS. The analysis indicates that the estimated value of the weather information from the Camilla AEMN station is $847,502 per year for irrigated corn, cotton, peanut and soybeans.