IoT-based Precision Agriculture Monitoring System: Enhancing Agricultural Efficiency
Tahmina Akter, Tanjim Mahmud, Rishita Chakma, Nippon Datta, Mohammad Shahadat Hossain, Karl Andersson
Abstract
This research study introduces an IoT-based Agricultural Monitoring System designed to enhance precision farming practices. Employing Arduino microcontrollers and a network of sensors including water level, soil moisture, temperature, and pH, the system enables real-time monitoring of agricultural parameters. Integration with GSM and WiFi modules facilitates data communication and remote-control capabilities. Additionally, solar power integration enhances sustainability. The collected data is uploaded to a cloud platform for analysis, providing farmers with actionable insights for informed decision-making. The study aims to optimize resource utilization, improve crop yield, and promote sustainable agriculture practices.