MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641050693 A) filed by Kalasalingam Academy Of Research And Education on April 21, 2026, for Ai Driven Precision Irrigation Control System Using Soil Sensor Fusion And Predictive Crop Water Modeling.
Inventors include Pallikonda Rajasekaran M; Velmurugadass. P; and Raja Muthiah.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT Title: AI-DRIVEN PRECISION IRRIGATION CONTROL SYSTEM USING SOIL 5 SENSOR FUSION AND PREDICTIVE CROP WATER MODELING This invention relates to an AI-Driven Precision Irrigation Control System Using Soil Sensor Fusion and Predictive Crop Water Modeling. It typically includes a Soil Moisture Sensors (1), a Soil Temperature Sensors (2), an Ambient Sensors (3), a Digital Rain Gaug (4), a Light Intensity Sensor (5), a Microcontroller Unit (6), a Wireless 10 Communication Modules (7), an Analog~to-Digital Converters (8), a Solar Power Management System (9), a Solenoid Valves (10), a Relay Module (11), a Surface Water Pump (12), a Flow Meter (13), an loT Platform (14), a Machine Learning Model (15), a Weather API Integration (16),a Web Dashboard (17), an Alert & Notification System (18). The primary advantage of this system is its ability to maximize water-use 15 efficiency and crop yield by replacing rigid, manual watering schedules with an autonomous, data-driven process that proactively anticipates future environmental changes and specific crop needs. The applications of an AI-Driven Precision Irrigation Control System extend beyond traditional open-field farming to include greenhouse management, vertical farming, urban landscaping, and wildfire risk mitigation, where 20 it ensures optimal resource allocation by autonomously adapting to micro-climatic shifts and specific growth cycles. Figure 2. Shows the flow diagram of the proposed
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