SMART AGRICULTURE SYSTEM USING IOT

Abstract

Agriculture plays a vital role in the global economy, and the need for efficient and sustainable farming practices has increased significantly with the growing population. This project presents an IoT-based smart agriculture system designed to enhance crop productivity and optimize resource utilization through real-time monitoring and automation. The system uses a network of sensors such as soil moisture sensors, temperature sensors, humidity sensors, and light sensors to continuously monitor environmental and soil conditions. These sensors are connected to a microcontroller that collects and processes data in real time. The collected data is transmitted to a cloud platform using wireless communication technologies, enabling farmers to monitor field conditions remotely through mobile or web applications. Based on the sensor data, the system can automatically control irrigation by activating water pumps when soil moisture levels fall below a predefined threshold. This ensures efficient water usage and prevents over-irrigation. Additionally, the system provides alerts and notifications to farmers when abnormal conditions are detected, allowing timely intervention. The integration of IoT technology improves decision-making by providing accurate and up-todate information about crop conditions. The system is cost-effective, scalable, and suitable for deployment in various agricultural environments. It reduces manual labor, increases efficiency, and promotes sustainable farming practices. Overall, the IoT-based smart agriculture system offers a reliable solution for modern agricultural challenges by enhancing productivity, conserving resources, and supporting precision farming