Climate Smart Pest Management

This study examines the role of weather and pest infestation forecasts in agricultural management, taking into account potential correlation between population prediction errors. First, we analytically illustrate forecast errors management using a stochastic optimal control framework. Next, dynamic programming, empirically simulate trajectory within growing season, We used lentil production Palouse area northern Idaho eastern Washington as case study, where pesticide use was restricted due to environmental or health reasons. showed that benefit applying pesticides later season can outweigh benefits early application when is regulations. The value information close $9 per acre, approximately 8% expected net returns $12 acre ($106–$94), 13% for baseline versus climate change scenarios, respectively.