Automated image analysis and improvisations to manage palm oil plantation

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	7395/87605
Uncontrolled Keywords:	Palm oil, Industry, Analysis, South-East Asia
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK452 Electric apparatus and materials. Electric circuits. Electric networks
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User:	Prof. Dr. Sher Afghan Khan
Date Deposited:	12 Jan 2021 11:11
Last Modified:	17 Mar 2021 12:02
URI:	http://irep.iium.edu.my/id/eprint/87605

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