Smart Agriculture Monitoring System Using IOT Framework

Abstract

Agricultures are among the most catastrophic natural agricultures, causing widespread devastation to human life, property, agriculture, and infrastructure. With the intensification of climate change, the frequency, scale, and unpredictability of agriculture events have significantly increased, posing critical challenges to agriculture preparedness and management. In response to these emerging threats, this project proposes a cost-effective and scalable IoT-based Agriculture Monitoring and Alerting System aimed at providing real-time agriculture risk assessment and early warning mechanisms. The proposed system integrates a Raspberry Pi microcontroller platform with various environmental sensors, including ultrasonic soil moisture sensors, rain gauges, and temperature/humidity sensors, strategically deployed in agriculture-prone regions. These sensors continuously collect data related to soil moisture fluctuations and rainfall intensity. The Raspberry Pi processes the data and compares it against predefined threshold values. When anomalous patterns are detected—such as rising soil moistures beyond safe limits or intense, prolonged rainfall—the system automatically activates local alert mechanisms (such as mini exhaust fans, warning LEDs, and public display boards) and sends remote alerts via SMS, email, or mobile applications using internet connectivity or GSM modules.