C067

IoT-Based Agricultural Monitoring for Optimized Crop Yield

Ts. Dr R Kanesaraj Ramasamy, Amierul Aiman Hafidz Bin Muzaffar, Venushini Rajendran

AFFILIATION
Faculty of Computing & Informatics, Multimedia University

Description of Invention

This project introduces an IoT-based agricultural monitoring system designed to optimize crop yields via accurate data collection and analysis. By employing soil moisture sensors, Arduino integration, and a cloud-based platform, it collects real-time information on soil conditions and weather predictions. The ARIMA model is used for forecasting rainfall, which aids in effective water management. The system's efficiency has been confirmed through extensive testing, showcasing its ability to improve agricultural productivity in a sustainable manner.