MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611079442 A) filed by Ajay Kumar Garg Engineering College on June 27, 2026, for Adaptive Agricultural Decision Optimization System And Working Method Thereof.
Inventors include Utkarsh Tiwari; Shivam Sharma; Shikha Agarwal; Dr. Anupama Sharma; Sumit Sharma; and Anupam Saini.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention discloses an Adaptive Agricultural Decision Optimization System and Working Method Thereof, configured for real-time, lifecycle-aware, and self-learning agricultural decision optimization. The system (100) comprises a Multi-Source Data Acquisition Network (110) configured to acquire heterogeneous agricultural data from distributed sensors, imaging platforms, external digital interfaces, and user inputs; a Heterogeneous Data Aggregation and Normalization Engine (120) configured to authenticate, synchronize, validate, and normalize acquired data into unified feature vectors; an Adaptive Decision and Cognitive Inference Module (130) configured to generate confidence-weighted agronomic decision scores using lifecycle-specific adaptive parameters; a Precision Resource Dispensation Controller (140) configured to execute autonomous irrigation, fertigation, and crop intervention commands; an Adaptive Feedback and Outcome Verification Unit (150) configured to update decision parameters based on observed field outcomes; and a Secure Data Logging and Provenance Layer (170) configured to store operational records. The invention improves resource efficiency, prediction accuracy, crop productivity, and adaptive decision reliability across successive cultivation cycles. Accompanied Drawings [Fig. 1-4]
Disclaimer: Curated by HT Syndication.
