Photonic Sensor for IoT Agriculture Irrigation System

Universiti Teknikal Malaysia Melaka
Socio-Economics Driver
Agriculture & Forestry
Science & Technology Driver
Sensor Technology
Technology Readiness Level
7
Intellectual Property
AR2024M06226

Traditional plant irrigation systems are often inefficient, relying on manual monitoring and fixed schedules that do not account for real-time environmental conditions. This leads to overwatering or underwatering, poor crop health, wasted resources, and reduced agricultural productivity. Furthermore, the lack of remote monitoring, automation, and data-driven insights limits farmers' ability to respond effectively to changing conditions, especially in large-scale or remote farming operations.

This system automates irrigation schedules based on sensor data to ensure optimal soil moisture levels, enables remote control via smartphones or computers, and sends alerts for critical conditions like low water levels or extreme temperatures. It continuously collects and processes data on the cloud, offering user-friendly dashboards for real-time and historical data visualization, predictive analytics to forecast future irrigation needs, and customizable reports on crop health and irrigation efficiency.

The IoT Irrigation System with Photonic Sensor introduces a smart, data-driven solution for precision agriculture by integrating advanced fiber optic sensors to monitor key parameters such as EC, temperature, humidity, and water levels in real time. Unlike traditional irrigation methods, this system offers automated irrigation scheduling, remote control via mobile or web interfaces, and real-time alerts for critical conditions. Leveraging cloud computing, it delivers predictive analytics, customizable reports, and visual dashboards, enabling farmers to make informed decisions, conserve resources, and significantly enhance crop health and irrigation efficiency.

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