MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641072788 A) filed by M Shanmathi; Dr. S. Praveen Kumar; Dr. Shabina Bhaskar; Dr. Sandip Mane; Dr. Venkatramanan R; Mr. Madhava Rao Karri; Sayon Dey; and Dr. F. Sangeetha Francelin Vinnarasi on June 12, 2026, for Ai-Integrated Solar Energy Driven Multi-Crop Harvesting System For Sustainable Small Farm Mechanization.
Inventors include M Shanmathi; Dr. S. Praveen Kumar; Dr. Shabina Bhaskar; Dr. Sandip Mane; Dr. Venkatramanan R; Mr. Madhava Rao Karri; Sayon Dey; and Dr. F. Sangeetha Francelin Vinnarasi.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: The present invention discloses an AI-Integrated Solar Energy Driven Multi-Crop Harvesting System for Sustainable Small Farm Mechanization designed to improve agricultural productivity, reduce labor dependency, and promote environmentally sustainable farming practices. The system integrates solar photovoltaic power generation, rechargeable energy storage, artificial intelligence-based crop recognition, machine vision technology, adaptive harvesting mechanisms, and autonomous navigation capabilities into a unified harvesting platform. Real-time field data acquired through sensors and imaging devices are analyzed using machine learning algorithms to identify crop varieties, determine crop maturity, optimize harvesting parameters, and improve harvesting accuracy. The adaptive harvesting mechanism enables efficient harvesting of multiple crop types without extensive equipment modification. The solar-powered architecture reduces fuel consumption and operational costs while minimizing environmental impact. Additionally, the system supports obstacle avoidance, wireless communication, remote monitoring, predictive maintenance, and precision agriculture applications. The invention provides an intelligent, energy-efficient, and cost-effective solution suitable for small and marginal farmers, contributing to sustainable agricultural development and smart farm mechanization.
Disclaimer: Curated by HT Syndication.
