Deepak Hanike Basavegowda

Deepak Hanike Basavegowda is a researcher in the Agromechatronics department at the Leibniz Institute for Agricultural Engineering and Bioeconomy in Potsdam, Germany. His work focuses on integrating deep learning, UAV technology, and IoT systems to advance sustainable agricultural practices through automated decision-making and biodiversity monitoring.

• Key projects: DAKIS-pro (Digital Agricultural Knowledge and Information System), Eco-Scheme 5 implementation
• Technologies: UAV-based remote sensing, robotics, precision farming systems

His research bridges machine learning with agricultural challenges, particularly in grassland biodiversity monitoring and early disease detection. Recent publications highlight his contributions to digitalization frameworks that optimize resource use while reducing environmental impacts through automated systems.

Scientific contributions span UAV-assisted deep learning for ecological monitoring, Explainable AI applications in agriculture, and intelligent fault detection systems for controlled environment agriculture. Current efforts focus on deploying these technologies for large-scale sustainable farming solutions.