Smart Agriculture Application Note
AI-Powered Mango Leaf Health Monitoring
Manually identifying diseases in crops is costly and subjective, highlighting the need for automated systems that ensure accurate detection in the field. To address this, integrating AIoT and AI Vision inspection offers an innovative solution for on-site leaf analysis. This advanced approach enhances the ability to assess crop health and detect leaf diseases, ultimately maximizing both the yield and quality of crops.
Developed in collaboration with an Independent Software Vendor (ISV) partner, this solution leverages Aetina’s AIE-KN42 edge AI computing platform and the NVIDIA TensorRT SDK to deliver instant diagnostics of mango leaf health. Using advanced edge AI vision technology, it analyzes leaves directly in the field, eliminating the need for laboratory testing and providing farmers with immediate, actionable insights. Trained on a comprehensive dataset, the system detects diseases and health issues with precision, enabling timely interventions and better crop management. Aetina’s AIE-KN42 offers exceptional edge computing performance, eliminating cloud reliance and ensuring real-time, low-latency processing. NVIDIA TensorRT optimizes deep learning models for fast, high-performance inference, empowering farmers to make rapid, informed decisions and enhance crop yield. This approach can be adapted to other crops with additional training, offering a versatile solution for broader agricultural applications.
