MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641075270 A) filed by Vellore Institute Of Technology on June 18, 2026, for Quantum-Enhanced Multi-Modal Data Mining Apparatus With Adaptive Actuation Control For Precision Agriculture.
Inventors include Gunavathi C; and Shlok Kumar Goenka.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention discloses a cyber-physical agricultural management apparatus integrating multi-modal sensing, FPGA-based quantum-enhanced analytics, anomaly classification, and closed-loop field actuation. The apparatus comprises a Multi-Modal Sensor Array (Zone A), an IoT Gateway and Data Acquisition unit (Zone B), an FPGA Quantum Processing Engine (Zone C), a Decision and Classification Engine (Zone D), a Physical Actuator Control Bus (Zone E), and an Alert and Monitoring Output subsystem (Zone F). Sensor measurements are converted into multidimensional feature vectors and processed through a Quantum Kernel PCA module (301) and a Q-LOF Anomaly Engine (302) to detect anomalous agricultural conditions. Detected anomalies are classified as sensor hardware faults or agronomic anomalies using diagnostic information. Agronomic anomalies are translated into zone-specific control actions through an Irrigation Valve controller (501), Fertilizer Dispenser (502), and Spray Nozzle Array (503). A Feedback Sensor subsystem (504) verifies execution of physical interventions, thereby enabling a real-time closed-loop sense-mine-act agricultural management system.
Disclaimer: Curated by HT Syndication.
