Designing And Developing Smart Plant Information System

The COVID-19 pandemic has undoubtedly impacted the way of life of all people in the world. The effect continues to worsen especially when our government imposed lock downs where everyone was required to stay home. Due to a long period of staying at home, boredom becomes one of the most reported neg...

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Main Authors: Kasmin, Fauziah, Othman, Zuraini, Syed Ahmad, Sharifah Sakinah, Munuganan, Previna, Roslan, Muhammad Naim Syahmi, Thinagaran, Paveetheran, Shafie, N.I.
Format: Article
Language:English
Published: Penerbit Universiti Teknikal Malaysia Melaka 2021
Online Access:http://eprints.utem.edu.my/id/eprint/25651/2/DESIGNING%20AND%20DEVELOPING%20SMART%20PLANT%20INFORMATION.PDF
http://eprints.utem.edu.my/id/eprint/25651/
https://journal.utem.edu.my/index.php/ijhati/article/view/6143/4103
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spelling my.utem.eprints.256512022-03-08T16:22:19Z http://eprints.utem.edu.my/id/eprint/25651/ Designing And Developing Smart Plant Information System Kasmin, Fauziah Othman, Zuraini Syed Ahmad, Sharifah Sakinah Munuganan, Previna Roslan, Muhammad Naim Syahmi Thinagaran, Paveetheran Shafie, N.I. The COVID-19 pandemic has undoubtedly impacted the way of life of all people in the world. The effect continues to worsen especially when our government imposed lock downs where everyone was required to stay home. Due to a long period of staying at home, boredom becomes one of the most reported negative psychological effects of quarantine. It is undeniable that people of all ages enjoy gardening and planting. Hence, this time during the pandemic can be a golden opportunity for people to get outside of their compound and grow their interest in gardening. Thus, this smart plant information system is designed to introduce the basic knowledge of plantations more easily and effectively. The system is applicable for multiple users who tend to learn more about plants and their plantation methods. Both men and women can start their garden with proper planting methods. This system has been developed using several modules such as leaf recognition using convolutional neural network (CNN), plant disease advice using knowledge-based expert system, and plant information using a chatbot. The leaf recognition using the CNN module will help the user recognize a plant by providing the plant’s leaf image. The plant disease advice will diagnose certain diseases a plant might have by calculating the confidence level of provided symptoms of the disease. Finally, plant information using the chatbot module will provide information about plants by answering the user’s questions. It is hoped that this system could serve as the best smart plant information system for the users. Penerbit Universiti Teknikal Malaysia Melaka 2021-10 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/25651/2/DESIGNING%20AND%20DEVELOPING%20SMART%20PLANT%20INFORMATION.PDF Kasmin, Fauziah and Othman, Zuraini and Syed Ahmad, Sharifah Sakinah and Munuganan, Previna and Roslan, Muhammad Naim Syahmi and Thinagaran, Paveetheran and Shafie, N.I. (2021) Designing And Developing Smart Plant Information System. International Journal of Human and Technology Interaction, 5 (2). pp. 23-31. ISSN 2590-3551 https://journal.utem.edu.my/index.php/ijhati/article/view/6143/4103
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description The COVID-19 pandemic has undoubtedly impacted the way of life of all people in the world. The effect continues to worsen especially when our government imposed lock downs where everyone was required to stay home. Due to a long period of staying at home, boredom becomes one of the most reported negative psychological effects of quarantine. It is undeniable that people of all ages enjoy gardening and planting. Hence, this time during the pandemic can be a golden opportunity for people to get outside of their compound and grow their interest in gardening. Thus, this smart plant information system is designed to introduce the basic knowledge of plantations more easily and effectively. The system is applicable for multiple users who tend to learn more about plants and their plantation methods. Both men and women can start their garden with proper planting methods. This system has been developed using several modules such as leaf recognition using convolutional neural network (CNN), plant disease advice using knowledge-based expert system, and plant information using a chatbot. The leaf recognition using the CNN module will help the user recognize a plant by providing the plant’s leaf image. The plant disease advice will diagnose certain diseases a plant might have by calculating the confidence level of provided symptoms of the disease. Finally, plant information using the chatbot module will provide information about plants by answering the user’s questions. It is hoped that this system could serve as the best smart plant information system for the users.
format Article
author Kasmin, Fauziah
Othman, Zuraini
Syed Ahmad, Sharifah Sakinah
Munuganan, Previna
Roslan, Muhammad Naim Syahmi
Thinagaran, Paveetheran
Shafie, N.I.
spellingShingle Kasmin, Fauziah
Othman, Zuraini
Syed Ahmad, Sharifah Sakinah
Munuganan, Previna
Roslan, Muhammad Naim Syahmi
Thinagaran, Paveetheran
Shafie, N.I.
Designing And Developing Smart Plant Information System
author_facet Kasmin, Fauziah
Othman, Zuraini
Syed Ahmad, Sharifah Sakinah
Munuganan, Previna
Roslan, Muhammad Naim Syahmi
Thinagaran, Paveetheran
Shafie, N.I.
author_sort Kasmin, Fauziah
title Designing And Developing Smart Plant Information System
title_short Designing And Developing Smart Plant Information System
title_full Designing And Developing Smart Plant Information System
title_fullStr Designing And Developing Smart Plant Information System
title_full_unstemmed Designing And Developing Smart Plant Information System
title_sort designing and developing smart plant information system
publisher Penerbit Universiti Teknikal Malaysia Melaka
publishDate 2021
url http://eprints.utem.edu.my/id/eprint/25651/2/DESIGNING%20AND%20DEVELOPING%20SMART%20PLANT%20INFORMATION.PDF
http://eprints.utem.edu.my/id/eprint/25651/
https://journal.utem.edu.my/index.php/ijhati/article/view/6143/4103
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score 13.18916