Traditional Integrated Pest Management (IPM) is reactive, relying on manual scouting and delayed analysis, which leads to unnecessary blanket sprays or missed economic thresholds. A custom automation workflow ingests real-time data from trap sensors, drone imagery, and weather models via agents, creating a continuous predictive layer. This shifts operations from calendar-based spraying to a prescriptive model, where interventions are triggered only by validated risk, directly reducing input costs by 20-40% and protecting yield margins.




