Intellectual Property India Publishes Patent Application for A Method And A System For Plant Health Monitoring And Conservation Decision Support Using Multi-Source Ecological Data

MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202621078210 A) filed by Sage University; Ms. Sakshi Agrawal; Dr. Prashant Jain; Dr. Lalji Prasad; Dr. Satyendra Sharma; Dr. Shiv Om Pratap; and Dr. Dipul Kumar Biswas on June 24, 2026, for A Method And A System For Plant Health Monitoring And Conservation Decision Support Using Multi-Source Ecological Data.

Inventors include Ms. Sakshi Agrawal; Dr. Prashant Jain; Dr. Lalji Prasad; Dr. Satyendra Sharma; Dr. Shiv Om Pratap; Dr. Dipul Kumar Biswas; Anvee Yadav; Vishal Mukati; Hari Om Patel; Damini Vyas; Niraj Jhapate; Yug Pandey; Aisha; and Sonu Patel.

The application for the patent was published on August 14, 2026, under issue no. 33/2026.

Abstract: ABSTRACT A METHOD AND A SYSTEM FOR PLANT HEALTH MONITORING AND CONSERVATION DECISION SUPPORT USING MULTI-SOURCE ECOLOGICAL DATA The current invention pertains to a system and process for plant health monitoring and conservation decision support based on multi-source ecological data. The system is comprised of multiple ecological data acquisition sources for collecting environmental data, climate data, biological data, soil data, habitat data, and biodiversity data; a processor; a memory; an ecological analytics engine; a conservation decision support module; and a communication module. The ecological analytics engine processes and analyzes multi-source ecological data through artificial intelligence and machine learning methods for determining the plant- health state, identifying plant stress, disease threats, habitat damage, biodiversity threats, and environmental abnormalities as well as predicting ecological risks. The conservation decision support module creates conservation recommendations, restoration plans, biodiversity preservation plans, and risk alerts based on the determined ecological conditions. The process involves collecting ecological data; processing and integration of the data; extraction of ecological features; intelligent ecological analysis; determination of conservation priorities; creation of decision support outputs; and communication of recommendations and alerts.

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