MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202621056494 A) filed by Sage University on May 04, 2026, for Method And System For Autonomous Edge-Intelligent Botanical Diagnosis With Context-Aware Inference And Closed-Loop Agronomic Guidance.
Inventors include Dr. Prashant Jain; Ayush Pandey; Harsh Kaithwas; Kashish Jat; Kuldeep Rajput; Dr. Deepak Kumar Yadav; and Dr. Deepak Agrawal.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention discloses a standalone, self-adapting edge-wise intelligent botanical analysis system and methodology aimed at real-time botanical pathology detection and precision agriculture decision-making support. The system consists of sensors and imaging devices capable of collecting botanical imagery data together with contextual environmental factors, as well as a processing unit running edge-wise optimized machine learning models. A dynamic in-graph pre-processing step is implemented to adaptively compensate for changes in environmental conditions. Furthermore, a temporal multi-frame consensus validation algorithm is employed to increase diagnostic reliability through analysis of successive images. The multi-faceted confidence gating framework incorporates model confidence, temporal consistency, and environmental validation factors to produce reliability-corrected results. Once validated, a feedback-controlled agronomic actuation engine can automatically generate actionable interventions and dosage levels tailored to particular crops and diseases. Fig.3
Disclaimer: Curated by HT Syndication.
