MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202511133394 A) filed by Manipal University, Jaipur, Rajasthan, on Dec. 30, 2025, for 'an ai-powered automated mineral detection and nutrient infusion system.'
Inventor(s) include Chanchal Agrawal; Chirag Jotwani; and Dr. Krishna Kant Pandey.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an artificial-intelligence-enabled autonomous system for real-time mineral detection, soil-condition assessment, and precision nutrient infusion in agricultural environments. The system integrates a multi-parameter sensor array configured to capture soil moisture, pH, dissolved solids, temperature, humidity, and reservoir-level information, along with a dual-layer computational architecture comprising a high-level processing unit and a low-level microcontroller. The microcontroller performs continuous sensor-data acquisition and individualized calibration, while the high-level processor executes an ensemble-based machine-learning inference engine to generate predictive irrigation and nutrient-delivery directives. A secure communication interface facilitates bidirectional data exchange between the processing layers for closed-loop autonomous control. An actuator assembly executes precision-bounded fluid-dispensing operations in accordance with the predicted requirements. The system optionally integrates visual plant-health imaging and remote supervisory access for enhanced analytics and oversight. By dynamically adjusting irrigation and nutrient-infusion parameters based on evolving soil and environmental conditions, the invention provides self-modulating, resource-efficient, and crop-adaptive management of soil mineral balance and plant nourishment without requiring continuous human intervention."
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