MUMBAI, India, Jan. 8 -- Intellectual Property India has published a patent application (202511104109 A) filed by Manipal University, Jaipur, Rajasthan, on Oct. 29, 2025, for 'tinyleafnet-iot: a microcontroller-based tomato leaf disease detection system using tinyml and iot.'
Inventor(s) include Dr. Timothy Malche.
The application for the patent was published on Dec. 12, under issue no. 50/2025.
According to the abstract released by the Intellectual Property India: "The present invention relates to a microcontroller-based tomato leaf disease detection system using TinyML and IoT (TinyLeafNet-IoT), for potential industrial applications in the agricultural technology sector. The system comprises an image capture module, a lightweight MobileNetV2-based neural network, a microcontroller unit (ESP32-S3), and a communication module. The system performs inference in under 15 milliseconds per image using a quantized model optimized for memory and latency, operating within 1.1 MB RAM. Trained on a dataset of over 13,500 images across five tomato leaf classes, the model achieves 94.6% accuracy and a macro F1-score of 0.94. Classification results, along with timestamps and confidence scores, are transmitted via MQTT over Wi-Fi to a cloud dashboard, with optional email alerts. The system is designed for unattended, long-term deployment using rechargeable or solar power, achieving over 95% data integrity in field tests. A corresponding method details the steps from image capture to alert generation, supporting precision agriculture and remote crop monitoring."
Disclaimer: Curated by HT Syndication.
