IOT BASED SMART FARMING SYSTEM USING SENSORS FOR AGRICULTURAL TASK AUTOMATION

Abstract

Agriculture remains the backbone of many economies, yet traditional farming practices often rely heavily on manual labor and subjective decision-making, which reduce productivity and efficiency. This paper proposes an IoT-based Smart Farming System that employs various sensors and microcontrollers to automate key agricultural tasks such as soil moisture monitoring, irrigation control, temperature regulation, and environmental monitoring. The system collects real-time data from sensors like soil moisture, humidity, temperature, and light intensity, which is transmitted to a cloud server for analysis. Based on the gathered data, automated actions—such as activating irrigation pumps or adjusting environmental conditions—are triggered. The data is also accessible through a mobile or web application, enabling farmers to monitor and manage their fields remotely. This intelligent system reduces water wastage, enhances crop yield, and minimizes manual intervention, contributing toward sustainable and precision agriculture.