Browsing by Author "Ogbonna, Francisca Chinwendu"

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    Improved IOT-based weather monitoring system for effective farming
    (Federal University of Technology, Owerri, 2024-11) Ogbonna, Francisca Chinwendu
    Agriculture serves as the backbone of numerous global economies, and its success heavily relies on weather conditions. The conventional weather monitoring systems often involves lack of realtime updates, manual data collection, limited coverage and elevated cost to maintain the infrastructure which hinders their adoption in agricultural settings. These limitations highlight the need for an affordable, automated and efficient weather monitoring solution which leverages IoT technology to assist farmers in mitigating the risks posed by unpredictable and inconsistent weather conditions consequently optimizing resource usage and improving crop yields. This study developed an enhanced Internet of Things (IoT) based weather monitoring system that elevates the efficiency of agricultural operations. The Ignite IoT methodology was adopted in this research. Key components of the system which allowed for real-time weather data collection includes the Digital Temperature and Humidity Sensor (DHT11), Barometric Pressure Sensor (BMP280), Rain Sensor and Light Dependent Resistor (LDR) for light intensity detection. These sensors were integrated with the NodeMCU microcontroller, Wireless Fidelity (Wi-Fi) module, a 9 voltage power supply and a Universal Serial Bus interface (USB) for solar alternative. Realtime weather data transmission to a central server via IoT technology allowing farmers to access crucial weather information through a user-friend mobile application powered by the Blynk IoT platform. The system demonstrated enhanced visualization via a flexible and comprehensible display interface. Extended operational time and more stable power supply through alternative power were also achieved. Compared to conventional methods, the IoT-based weather monitoring system eliminated manual data collection and utilized affordable IoT devices which in turn reduced the overall cost of implementation. By leveraging this IoT-based weather monitoring system, farmers can optimize resource usage, increase crop yields, and mitigate the impact of adverse weather conditions thus providing a cost-effective, reliable and efficient solution for modern agriculture.