MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641106014 A) filed by Saveetha Institute Of Medical And Technical Sciences on September 03, 2026, for Ai-Powered Farming System.
Inventors include S. Sahil; Dr. J. Mohemed Yasin; Dr. S. Jothi Arunachalam; and Dr Ramya Mohan.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: With the increasing global demand for food production and the need for sustainable agricultural practices, the adoption of advanced technologies in farming has become essential. This project presents an AI-powered farming system designed to improve crop productivity, optimize resource utilization, and support intelligent decision- making in agriculture. The system integrates artificial intelligence, machine learning, and Internet of Things (IoT) technologies to provide real-time monitoring and analysis of field conditions. The proposed system employs various sensors to continuously collect data on critical parameters such as soil moisture, temperature, humidity, and nutrient levels. This data is processed using Al algorithms to generate accurate insights and recommendations for irrigation scheduling, fertilizer application, and crop health management. By analyzing patterns and environmental conditions, the system can also predict potential risks such as pest infestations and plant diseases at an early stage. Additionally, the system includes automated irrigation and alert mechanisms that reduce water wastage and minimize manual intervention. Farmers can access the analyzed data and recommendations through a user-friendly interface, enabling them to make precise and timely decisions. This data-driven approach enhances efficiency, reduces operational costs, and improves overall yield quality. Unlike conventional farming methods that rely on experience and manual observation, the AI-powered system ensures continuous monitoring and accuracy. It helps in reducing crop losses and promotes environmentally sustainable practices. Overall, this system provides a scalable, cost-effective, and intelligent solution for modern agriculture, contributing to increased productivity and long-term food security.
Disclaimer: Curated by HT Syndication.
