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Fuzzy logic-based intelligent irrigation system with mobile application

Author(s)
ANIS S AZRY Department of Communication Technology and Network, Universiti Putra Malaysia, Malaysia
N DERAHMAN Department of Communication Technology and Network, Universiti Putra Malaysia, Malaysia
ZARINA MOHAMAD Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Malaysiaa
AMIR R A RAHIMAN Department of Communication Technology and Network, Universiti Putra Malaysia, Malaysia
BASHIR A MUZAKKARI Department of Computer Science, Northwest University, Kano, Nigeria
MOHAMAD A MOHAMED Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Malaysiaa
Abstract
Current irrigation scheduling is inefficient and inaccurate as it still relies heavily on human labour which can lead to over- or under-irrigation, affecting crop quality and workers productivity. This study proposes an implementation of an Internet-of-Things (IoT)-based irrigation system with fuzzy logic to improve the efficiency of the irrigation process. That includes the development of a mobile application called Chill-I, which acts as a remote reporter for the agricultural contractor. In addition, this system was developed specifically for the bird's eye chilli crop, which is grown on a large scale. With three inputs, soil moisture, humidity and temperature collected by the sensors, the system uses fuzzy logic processing capability to generate the output of water pumping at different rate. The results showed that fuzzy logic-based system increases the efficiency of automatic irrigation, rather than setting a fixed water pumping rate for the plant or only the ON/OFF option. Moreover, the mobile application allows remote monitoring of plants reducing unnecessary resources and improve intervention efficiency when needed.
Publication Details
Page(s) 5323-5334
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 18, Year: 2022

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Keywords
IoT, fuzzy logic, Raspberry Pi, Mobile application, Automated irrigation system
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