Harnessing AI for Sustainable Pest Management and Climate-Resilient Agriculture

Our team focuses on leveraging artificial intelligence and data-driven tools to enhance the resilience of food systems through the following contributions:

AI-powered Pest Surveillance & Early Detection

We develop and deploy smart sensing systems—ranging from vision-based monitoring to IoT-integrated traps—combined with AI models to detect pest presence and behavior in real time. This ensures timely interventions and minimizes crop loss.

Predictive Modeling & Risk Forecasting

By integrating environmental, biological, and historical data, our machine learning models predict pest outbreaks across diverse climatic zones. These forecasts empower growers with proactive planning tools tailored to regional and seasonal variability.

Decision Support Systems for Biocontrol

We provide AI-supported tools that simulate and recommend biologically friendly treatment options, aiding decision-making on bio-based pest control methods, reducing reliance on harmful chemicals.

Digital Platforms for Grower & Citizen Engagement

We contribute to user-friendly applications and dashboards designed to inform farmers, policymakers, and even citizens about pest trends, treatment efficacy, and sustainable practices—bridging the gap between science and field application.