Scarecrow is a field-level decision intelligence platform focused on crop protection in large-scale agriculture. The platform supports growers and agronomists by transforming field observations into consistent, data-driven decisions around pest monitoring and treatment. Through scalable field data collection and real-time analysis, Scarecrow continuously assesses pest pressure, treatment effectiveness, and early signs of treatment failure, translating this information into clear, actionable recommendations that guide when and how interventions should be adjusted.
Crop protection decisions are traditionally made using fragmented data, manual scouting, and individual experience, resulting in inconsistent treatments and limited organizational learning. Scarecrow systematizes this process by institutionalizing decision-making and reducing reliance on intuition. Outcomes are tracked and fed back into future recommendations, enabling decision quality to steadily improve over time and embedding the platform into day-to-day crop protection workflows across fields, seasons, and production teams.
