MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611064613 A) filed by Chandigarh University on May 22, 2026, for Iot-Based Multi-Sensor Crop Recommendation Using Real-Time Machine Learning.
Inventors include Dev Pundir; and Parveen Badoni.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to an IoT-based multi-sensor crop recommendation system that integrates real-time multi-sensor monitoring with advanced machine learning analytics to support precision agriculture. The system deploys calibrated soil sensors capable of measuring NPK nutrients, pH, moisture, temperature, and conductivity, with data transmitted securely via LoRaWAN or cellular networks to cloud-based processing platforms. Ensemble machine learning models, including Random Forest, XGBoost, and Convolutional Neural Networks, analyze soil conditions, weather trends, and historical farming data to deliver highly accurate crop recommendations exceeding 96% accuracy. Farmers access these insights through a mobile application that provides real-time field monitoring, personalized crop suggestions, yield forecasts, and resource optimization strategies. Key innovations include continuous multi-parameter soil analysis, adaptive machine learning models, predictive analytics for seasonal planning, and cost-effective IoT sensor networks featuring battery life of over 12 months
Disclaimer: Curated by HT Syndication.
