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Development of an IoT Based Data Acquisition and Automatic Irrigation System for Precision Agriculture

Adetiba, E. and Ifijeh, H. A. and Oguntosin, V. and Odunuga, Toluwani and Iweala, David and Akindele, Ayoola and Abayomi, Abdultaofeek and Obiyemi,, O.O. and Thakur, Surendra (2022) Development of an IoT Based Data Acquisition and Automatic Irrigation System for Precision Agriculture. In: 4th International Conference on Disruptive Technologies for Sustainable Development, 2022, Lagos, Nigeria.

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Abstract

Agriculture has benefited greatly from improvements in Internet of Things based technology. Farm data can be sent to farmers in real-time through the advent of Internet of Things based technology which integrates data collection, transmission, storage and other essential components that provide for great user experience. This work involves the development of a system that enable the transmission of sensor field data to the Internet, via a microcontroller, a transceiver and a Wi-Fi module. In this work, an Internet of Things based data acquisition and automatic irrigation system for precision agriculture was designed and implemented using Arduino Uno, Soil Moisture and Temperature sensors, Proteus design suite, and the Arduino integrated development environment software. The significance of this work is evident as it, enables farmers perform specified functionalities at the comfort of their home, minimize wastage of water during irrigation and most importantly reduce the maintainability cost of the farm through minimal physical supervision. This work also elicits requirements for better improvements on the IoT-based data acquisition and automatic irrigation system.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: nwokealisi
Date Deposited: 26 Jul 2023 10:32
Last Modified: 26 Jul 2023 10:32
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/17205

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