Our Adaptive Cyber-Physical Bird Detection and Crop Protection Project harnesses the power of data science, machine learning, robotics, and the Internet of Things (IoT) to protect agriculture from bird-related damage—sustainably and non-lethally. The system combines multimodal sensing (RGB, thermal, and acoustic), edge AI, and autonomous drones to detect, classify, and respond to pest bird activity in real time. Automated deterrents are deployed with precision, minimizing ecological disturbance while safeguarding yields. Online adaptive learning enables the models to evolve with seasonal changes and shifting bird behavior, ensuring long-term effectiveness. IoT-enabled field nodes coordinate with mobile aerial platforms to cover large and remote areas, forming a resilient, self-improving network. This interdisciplinary effort bridges artificial intelligence, embedded systems, ecology, and agricultural science, offering an innovative, scalable solution for farmers and land managers worldwide.

More to Come...