Study and Implementation of Data Mining in Urban Gardening

The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. Linking of these platforms are through a five-step process – monitoring, recording, processing, optimising, and reporting. The proc...

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Main Authors: Mohana, Muniandy, Lee, Eu Vern
Format: Article
Language:English
Published: INTI International University 2019
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Online Access:http://eprints.intimal.edu.my/1309/1/ij2019_36.pdf
http://eprints.intimal.edu.my/1309/
http://intijournal.intimal.edu.my
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spelling my-inti-eprints.13092024-04-17T06:04:00Z http://eprints.intimal.edu.my/1309/ Study and Implementation of Data Mining in Urban Gardening Mohana, Muniandy Lee, Eu Vern QA75 Electronic computers. Computer science The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. Linking of these platforms are through a five-step process – monitoring, recording, processing, optimising, and reporting. The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. This information is then utilised to optimise the automated plant-caregiving features that the system contains, which are irrigation and sunlight through LED grow lights. Feedback given to the user to inform them of methods by which they can improve their plant’s health condition, derived through the information generated from the data-mining module. A user can then remotely monitor and care for their plants. The major caregiving tasks of the plants in this system is automated and its users are equipped with a powerful tool that informs and educates them on the conditions of their plant, providing them with information that aids with improvement of the plants’ health conditions INTI International University 2019 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1309/1/ij2019_36.pdf Mohana, Muniandy and Lee, Eu Vern (2019) Study and Implementation of Data Mining in Urban Gardening. INTI JOURNAL, 2019 (36). ISSN e2600-7320 http://intijournal.intimal.edu.my
institution INTI International University
building INTI Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider INTI International University
content_source INTI Institutional Repository
url_provider http://eprints.intimal.edu.my
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mohana, Muniandy
Lee, Eu Vern
Study and Implementation of Data Mining in Urban Gardening
description The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. Linking of these platforms are through a five-step process – monitoring, recording, processing, optimising, and reporting. The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. This information is then utilised to optimise the automated plant-caregiving features that the system contains, which are irrigation and sunlight through LED grow lights. Feedback given to the user to inform them of methods by which they can improve their plant’s health condition, derived through the information generated from the data-mining module. A user can then remotely monitor and care for their plants. The major caregiving tasks of the plants in this system is automated and its users are equipped with a powerful tool that informs and educates them on the conditions of their plant, providing them with information that aids with improvement of the plants’ health conditions
format Article
author Mohana, Muniandy
Lee, Eu Vern
author_facet Mohana, Muniandy
Lee, Eu Vern
author_sort Mohana, Muniandy
title Study and Implementation of Data Mining in Urban Gardening
title_short Study and Implementation of Data Mining in Urban Gardening
title_full Study and Implementation of Data Mining in Urban Gardening
title_fullStr Study and Implementation of Data Mining in Urban Gardening
title_full_unstemmed Study and Implementation of Data Mining in Urban Gardening
title_sort study and implementation of data mining in urban gardening
publisher INTI International University
publishDate 2019
url http://eprints.intimal.edu.my/1309/1/ij2019_36.pdf
http://eprints.intimal.edu.my/1309/
http://intijournal.intimal.edu.my
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