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Automated image analysis and improvisations to manage palm oil plantation

Palm oil industry plays an essential role in South-East Asian agricultural commodity sector as it contributes to the substantial gross domestic product of the country. However, with the advent of climate change and massive deforestation, the disease and malfunctioning in the growth of palm tree have...

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Main Authors: Akhtar, Mohammad Nishat, Khan, Sher Afghan, Mohamed, Mazlan, Janvekar, Ayub
Format: Conference or Workshop Item
Language:English
English
Published: IOP Publishing 2020
Subjects:
TK452 Electric apparatus and materials. Electric circuits. Electric networks
Online Access:http://irep.iium.edu.my/87605/1/87605_Automated%20image%20analysis%20and%20improvisations.pdf
http://irep.iium.edu.my/87605/7/87605_Automated%20image%20analysis%20and%20improvisations_SCOPUS.pdf
http://irep.iium.edu.my/87605/
https://iopscience.iop.org/article/10.1088/1757-899X/1007/1/012082/meta
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spelling my.iium.irep.876052021-03-17T04:02:53Z http://irep.iium.edu.my/87605/ Automated image analysis and improvisations to manage palm oil plantation Akhtar, Mohammad Nishat Khan, Sher Afghan Mohamed, Mazlan Janvekar, Ayub TK452 Electric apparatus and materials. Electric circuits. Electric networks Palm oil industry plays an essential role in South-East Asian agricultural commodity sector as it contributes to the substantial gross domestic product of the country. However, with the advent of climate change and massive deforestation, the disease and malfunctioning in the growth of palm tree have increased. Therefore, it has become essential to detect any form of the disease in palm oil plantation which can hamper its productivity as it can cause a serious problem to the countries whose economic conditions are primarily dependent upon palm oil plantations. Hence, early detection of disease from the initial stage is crucial to the production of palm oil. In this regard, the proposed manuscript highlights the importance of image processing in detecting early disease in palm oil plantation using image segmentation and also proposes some improvisations in palm oil plantation which will be helpful in managing the palm oil commodity business. IOP Publishing 2020-12-30 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/87605/1/87605_Automated%20image%20analysis%20and%20improvisations.pdf application/pdf en http://irep.iium.edu.my/87605/7/87605_Automated%20image%20analysis%20and%20improvisations_SCOPUS.pdf Akhtar, Mohammad Nishat and Khan, Sher Afghan and Mohamed, Mazlan and Janvekar, Ayub (2020) Automated image analysis and improvisations to manage palm oil plantation. In: 3rd Tarumanagara International Conference of the Applications of Technology and Engineering (TICATE), 3-4 August 2020, Jakarta, Indonesia. https://iopscience.iop.org/article/10.1088/1757-899X/1007/1/012082/meta
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic TK452 Electric apparatus and materials. Electric circuits. Electric networks
spellingShingle TK452 Electric apparatus and materials. Electric circuits. Electric networks
Akhtar, Mohammad Nishat
Khan, Sher Afghan
Mohamed, Mazlan
Janvekar, Ayub
Automated image analysis and improvisations to manage palm oil plantation
description Palm oil industry plays an essential role in South-East Asian agricultural commodity sector as it contributes to the substantial gross domestic product of the country. However, with the advent of climate change and massive deforestation, the disease and malfunctioning in the growth of palm tree have increased. Therefore, it has become essential to detect any form of the disease in palm oil plantation which can hamper its productivity as it can cause a serious problem to the countries whose economic conditions are primarily dependent upon palm oil plantations. Hence, early detection of disease from the initial stage is crucial to the production of palm oil. In this regard, the proposed manuscript highlights the importance of image processing in detecting early disease in palm oil plantation using image segmentation and also proposes some improvisations in palm oil plantation which will be helpful in managing the palm oil commodity business.
format Conference or Workshop Item
author Akhtar, Mohammad Nishat
Khan, Sher Afghan
Mohamed, Mazlan
Janvekar, Ayub
author_facet Akhtar, Mohammad Nishat
Khan, Sher Afghan
Mohamed, Mazlan
Janvekar, Ayub
author_sort Akhtar, Mohammad Nishat
title Automated image analysis and improvisations to manage palm oil plantation
title_short Automated image analysis and improvisations to manage palm oil plantation
title_full Automated image analysis and improvisations to manage palm oil plantation
title_fullStr Automated image analysis and improvisations to manage palm oil plantation
title_full_unstemmed Automated image analysis and improvisations to manage palm oil plantation
title_sort automated image analysis and improvisations to manage palm oil plantation
publisher IOP Publishing
publishDate 2020
url http://irep.iium.edu.my/87605/1/87605_Automated%20image%20analysis%20and%20improvisations.pdf
http://irep.iium.edu.my/87605/7/87605_Automated%20image%20analysis%20and%20improvisations_SCOPUS.pdf
http://irep.iium.edu.my/87605/
https://iopscience.iop.org/article/10.1088/1757-899X/1007/1/012082/meta
_version_ 1695530648872157184
score 13.211869

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