MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202641094163 A) filed by Vardhaman College Of Engineering on August 04, 2026, for Ai-Driven Soil Microbiome Analysis For Precision Farming Optimization.
Inventors include Dr. A Suhasini; Dr. S Venkata Siva Kumar; Dr. Medavaram Satya Prakash; Mr. Mailaram Prabhakar; Ms. Thangellapally Sanjana Dharshan; and Ms. Sallapalle Archana.
The application for the patent was published on August 21, 2026, under issue no. 34/2026.
Abstract: AI-Driven Soil Microbiome Analysis for Precision Farming Optimization is the proposed invention. The present invention provides an artificial intelligence-driven soil microbiome analysis system for optimisation of precision farming using Graph Neural Network (GNN). This is a heterogeneous graph, which encodes complex microbial and ecological interactions, synthesises soil metagenomic sequence data, measurements from IoT sensors, soil physicochemical properties, environmental conditions, and crop data. By passing messages, the GNN learns how microbial communities, nutrients, plant roots and environmental variables relate to each other. This allows accurate predictions of soil fertility, nutrient deficiencies, disease susceptibility, and crop yield potential. A decision engine powered by AI delivers customised recommendations for fertiliser rates, microbial inoculants, irrigation scheduling, crop rotation, and soil amendment strategies. A reinforcement learning module continually adjusts recommendations according to the seasonal performance of crops and feedback from the environment, enabling adaptive optimisation over cultivation cycles. An explainable AI module provides transparent insights on microbial interactions that support each recommendation. The proposed invention improves agricultural productivity, reduces chemical inputs, improves soil health, supports sustainable farming and enables intelligent precision agriculture in different crop production systems.
Disclaimer: Curated by HT Syndication.
