MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641092479 A) filed by St. Josephs College Of Engineering; Dinesh Elumalai; P. C. Balaji; and Mr. R. Sreekanth on July 30, 2026, for Fault Detection In Renewable Ac Microgrids Using Gaussian Naive Bayes, Support Vector Machine, And Random Forest.
Inventors include St. Josephs College Of Engineering; Dinesh Elumalai; P. C. Balaji; and Mr. R. Sreekanth.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: Agriculture consumes a large portion of freshwater resources, and inefficient irrigation practices often result in water wastage and reduced crop productivity. To address these challenges, this project proposes a Predictive AI-Based Solar Irrigation System Using ESP32 for Water Conservation. The system utilizes an ESP32 microcontroller integrated with a capacitive soil moisture sensor and a DHT22 temperature and humidity sensor to continuously monitor environmental conditions. The collected data is transmitted to the ThingSpeak cloud platform through WiFi for real-time monitoring and analysis. A Streamlit dashboard is developed to display live sensor readings, graphical trends, crop selection options, and irrigation status. The system incorporates a TinyML-inspired prediction model that estimates soil dryness based on soil moisture, temperature, and humidity values. According to the predicted dryness score, a 12V DC water pump is automatically controlled through an L293D motor driver module. Powered by a solar panel and rechargeable battery, the proposed system ensures energy-efficient operation, reduces water wastage, minimizes manual intervention, and promotes sustainable smart agriculture through intelligent irrigation management.
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