The growing challenges posed by climate change and resource scarcity have intensified the need for efficient and intelligent agriculture monitoring systems. This study presents an IoT-based Agriculture Monitoring System utilizing a Wireless Sensor Network (WSN) to collect essential field parameters such as soil moisture, soil temperature, air temperature, humidity, and soil salinity throughout the crop growth cycle. Distributed sensor nodes transmit real-time data through low-power wireless communication to a central gateway, which forwards the information to a cloud-enabled dashboard for monitoring, analysis, and automated alerts. The system supports informed decision-making, enabling optimized irrigation, fertilizer management, and energy use. By integrating IoT and WSN technologies, the proposed solution enhances precision agriculture practices, improves crop productivity, and promotes sustainable farming.
Prof. Dr. Anand Mohan ; & Prof. Dr. M. Sundararajan
305-310
10.5281/zenodo.17942351