A SMART AGRICULTURE FRAMEWORK USING AN IOT-BASED DUAL-AXIS SOLAR TRACKING SYSTEM

Abstract

This project presents an IoT-based dual-axis solar tracking system integrated with a smart agriculture framework to improve energy efficiency and agricultural sustainability. The dual-axis solar tracker maximizes solar energy generation by continuously adjusting the orientation of photovoltaic panels along both horizontal and vertical axes to follow the sun’s movement, ensuring optimal exposure throughout the day. IoT-enabled sensors are used to monitor key environmental parameters such as solar irradiance, temperature, and humidity in real time. Based on the collected data, an automated irrigation system dynamically regulates water usage, reducing wastage and enhancing crop productivity. Utilizing solar energy to power agricultural operations minimizes dependence on conventional electricity sources, making the system environmentally friendly and costeffective. By integrating renewable energy with intelligent monitoring and control mechanisms, the proposed system offers a sustainable and efficient solution for modern precision agriculture.