MUMBAI, India, Sept. 26 -- Intellectual Property India has published a patent application (202421023204 A) filed by G. H. Raisoni College Of Engineering; and G. H. R. Labs And Research Centre, Nagpur, Maharashtra, on March 24, 2024, for 'an iot based plant disease detection system.'
Inventor(s) include Kalbande, Kamlesh; Patil, Wani; Deshmukh, Atul; Nair, Shyam; Bante, Abhishek; and Tomar, Pranjay.
The application for the patent was published on Sept. 26, under issue no. 39/2025.
According to the abstract released by the Intellectual Property India: "The present invention relates to an IOT based plant disease detection system. Leveraging deep learning techniques, the system employs a convolutional neural network with hierarchical mixed pooling for accurate and early identification of plant diseases. An IOT enabled robotic assembly equipped with a Raspberry Pi controller and high-definition camera autonomously navigates through crops, capturing images of plant leaves for analysis. A web-based platform enables remote monitoring and control of the robotic assembly, facilitating real-time intervention such as pesticide spraying based on disease detection results. The system's pesticide sprinkling system, integrated with solenoid valves and an ultrasonic sensor, ensures precise and efficient pesticide application. Through seamless connectivity between the deep learning-based disease detection module, the robotic assembly, and the web-based platform, farmers can optimize plant health management practices, leading to increased crop yields and sustainability in agriculture."
Disclaimer: Curated by HT Syndication.
