MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511115424 A) filed by Pranveer Singh Institute Of Technology, Kanpur, Uttar Pradesh, on Nov. 22, 2025, for 'ai-iot hybrid fusion system for smart irrigation and crop health prediction using vision-based environmental analytics and adaptive reinforcement control.'
Inventor(s) include Dr. Piyush Bhushan Singh; Mr. Ashish Tripathi; Tanveer Hussain Khan; Stuti Kesarwani; Dr. Sumit Chandra; Dr. Rahul Deo Shukla; Dr. Nand Kishor Sharma; Dr. Esha Tripathi; Dr. Vatsya Tiwari; and Dr. Sandhya Satyarthi.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a hybrid artificial intelligence and Internet of Things (AI-IoT) system for intelligent irrigation and crop health prediction, herein referred to as KrishiSevak.AI. The system integrates a Convolutional Neural Network (CNN)-Vision Transformer (ViT) hybrid for visual crop analysis with an IoT sensor network measuring soil and environmental parameters in real time. A reinforcement learning-based adaptive irrigation controller utilizes these multimodal inputs to optimize water distribution dynamically across zones. A biological constraint module ensures realistic irrigation actions by accounting for crop physiology and evapotranspiration. The system achieves up to 50% water savings and 15% yield improvement, operating efficiently on low-cost hardware without GPUs. Interpretability is achieved through visual and sensorbased attention maps, aiding transparent decision-making for farmers. The invention provides a scalable, fielddeployable, and sustainable AI-IoT solution for nextgeneration precision agriculture adaptable across regions and crop types."
Disclaimer: Curated by HT Syndication.
