Solar-powered embedded systems for remote farm monitoring

Guruswamy T.B *

Department of Electronics and Communication Engineering, Government Residential Polytechnic for Women’s, Shimoga, Karnataka, India.
 
Research Article
World Journal of Advanced Research and Reviews, 2022, 15(02), 808-816
Article DOI: 10.30574/wjarr.2022.15.2.0845
 
Publication history: 
Received on 02 August 2022; revised on 15 August 2022; accepted on 28 August 2022
 
Abstract: 
The increasing demand for precision agriculture has driven the adoption of advanced monitoring technologies that enhance farm management and resource utilization. Among these, solar-powered embedded systems have emerged as a sustainable and efficient solution for remote farm monitoring. These systems integrate renewable energy sources with IoT-based sensors and wireless communication technologies to facilitate real-time data collection, transmission, and analysis. This paper explores the architecture and implementation of solar-powered embedded systems for agricultural monitoring, focusing on key components such as solar energy harvesting units, embedded microcontrollers, sensor networks, and data communication protocols. The integration of various environmental and soil health sensors, including temperature, humidity, moisture, pH, and nutrient detection, enables precise and continuous monitoring of critical agricultural parameters. Additionally, wireless communication technologies such as LoRa, Zigbee, and cellular networks ensure seamless data transmission to cloud-based platforms, enabling remote access and decision-making for farmers. Experimental results highlight significant improvements in energy efficiency, data accuracy, and operational scalability compared to traditional monitoring methods. The system's ability to operate autonomously in remote and off-grid locations, coupled with optimized power consumption strategies, ensures long-term sustainability and reliability. Furthermore, the study discusses future advancements in AI-driven predictive analytics, energy optimization strategies, and the potential integration of edge computing for real-time processing. These developments are expected to enhance automation, improve resource management, and drive smarter decision-making in precision agriculture. By leveraging renewable energy and intelligent embedded technologies, solar-powered monitoring systems represent a transformative step toward sustainable and data-driven agricultural practices. The findings of this research contribute to the broader adoption of smart farming solutions, addressing challenges related to energy constraints, environmental monitoring, and agricultural productivity.
 
Keywords: 
Solar-powered embedded systems; Precision agriculture; Iot-based farm monitoring; Renewable energy; Real-time data collection; Wireless communication; Predictive maintenance
 
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