MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202621098941 A) filed by Dr. D. Y. Patil Institute Of Technology, Pimpri, Pune -; and Dnyaan Prasad Global University, School Of Technology And Research on August 16, 2026, for A Region-Adaptive Artificial Intelligence System For Dynamic Crop Suitability And Market Recommendation Using Multi-Source Agricultural Data.
Inventors include Ms. Priya Metri; Manish Patil; Tejas Jamkar; Prem Dhumal; and Rohit Khandekar.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: The current invention reveals a region-adaptive, artificial intelligence-based agricultural decision support system designed to increase efficiency and productivity of farming activities. The system combines the newest technologies such as cloud computing, mobile computing, and machine learning algorithms to deliver smart crop suitability prediction and optimal market advice. The system allows farmers to digitally manage farm related data like soil health, crop conditions, irrigation schedules, and other farm activities using a convenient interface. It also gathers and analyses multi-source data, such as environmental factors and market trends, to create real- time, data-driven advice. Moreover, the system has predictive analytics and adaptive learning systems to continually enhance decision-making based on real-time inputs and feedback. The invention also helps in achieving better traceability and supply chain efficiency through connecting production insights to market opportunities. The system in general supports informed decision making, maximization of resource utilization, and increased agricultural productivity and profitability through an intelligent, scalable, and integrated system.
Disclaimer: Curated by HT Syndication.
