Staff View: Fuzzy logic-based intelligent irrigation system with mobile application

Fuzzy logic-based intelligent irrigation system with mobile application

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...

Full description

Saved in:

Bibliographic Details
Main Authors:	Azry, Anis S, Derahman, Md N, Mohamad, Zarina, Rahiman, Amir R. A., A. Muzakkari, Bashir, Mohamed, Mohamad A.
Format:	Article
Published:	Little Lion Scientific 2022
Online Access:	http://psasir.upm.edu.my/id/eprint/101591/ https://www.jatit.org/volumes/onehundred18.php
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my.upm.eprints.101591
record_format	eprints
spelling	my.upm.eprints.1015912023-11-14T08:23:04Z http://psasir.upm.edu.my/id/eprint/101591/ Fuzzy logic-based intelligent irrigation system with mobile application Azry, Anis S Derahman, Md N Mohamad, Zarina Rahiman, Amir R. A. A. Muzakkari, Bashir Mohamed, Mohamad A. 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. Little Lion Scientific 2022 Article PeerReviewed Azry, Anis S and Derahman, Md N and Mohamad, Zarina and Rahiman, Amir R. A. and A. Muzakkari, Bashir and Mohamed, Mohamad A. (2022) Fuzzy logic-based intelligent irrigation system with mobile application. Journal of Theoretical and Applied Information Technology, 100 (18). 5323 - 5334. ISSN 1992-8645; ESSN: 1817-3195 https://www.jatit.org/volumes/onehundred18.php
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
description	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.
format	Article
author	Azry, Anis S Derahman, Md N Mohamad, Zarina Rahiman, Amir R. A. A. Muzakkari, Bashir Mohamed, Mohamad A.
spellingShingle	Azry, Anis S Derahman, Md N Mohamad, Zarina Rahiman, Amir R. A. A. Muzakkari, Bashir Mohamed, Mohamad A. Fuzzy logic-based intelligent irrigation system with mobile application
author_facet	Azry, Anis S Derahman, Md N Mohamad, Zarina Rahiman, Amir R. A. A. Muzakkari, Bashir Mohamed, Mohamad A.
author_sort	Azry, Anis S
title	Fuzzy logic-based intelligent irrigation system with mobile application
title_short	Fuzzy logic-based intelligent irrigation system with mobile application
title_full	Fuzzy logic-based intelligent irrigation system with mobile application
title_fullStr	Fuzzy logic-based intelligent irrigation system with mobile application
title_full_unstemmed	Fuzzy logic-based intelligent irrigation system with mobile application
title_sort	fuzzy logic-based intelligent irrigation system with mobile application
publisher	Little Lion Scientific
publishDate	2022
url	http://psasir.upm.edu.my/id/eprint/101591/ https://www.jatit.org/volumes/onehundred18.php
_version_	1783879938860908544
score	13.211869

Fuzzy logic-based intelligent irrigation system with mobile application

Similar Items