Intelligent classification of palm oil tree pollination using E-nose

Abdul Rahim, Jalil and Muhammad Sharfi, Najib and Suhaimi, Mohd Daud and Mujahid, Mohamad and Saiful Nizam, Tajuddin and Che Mohd Aizal, Che Mohd and Razam, Abd Latip and Mohammad Saiful Nizam, Ismail and Mohamad Nor Azizi, Shabudin and Wan Rusyidah, W. Rusik (2020) Intelligent classification of palm oil tree pollination using E-nose. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 2 (1). pp. 28-37. ISSN 2637-0883. (Published)

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The pollination period is one of the crucial steps needed to ensure crop yield increases, especially in palm oil palm plantations. Most of the research has difficulty determining the pollination period of palm oil. Many problems contribute to this problem, such as difficut to reach and depedency of the polination insect as the insect activity is influenced by the surrounding enviroment.E-Nose can help determine the period by classifiy odour pattern of the male and female palm oil flower. The pattern of each of the flowers were classified using cased – based reasoning artificial intelligent technique. This paper shows the research of the palm oil pollination flower odour profile pattern using case-based reasoning (CBR) classifier.

Item Type: Article
Uncontrolled Keywords: Pollination Palm Oil; E-Nose; Male and Female Flower; Odour Pattern; Cased Based Reasoning
Subjects: T Technology > TP Chemical technology
T Technology > TS Manufactures
Faculty/Division: Faculty of Industrial Sciences And Technology
Institute of Postgraduate Studies
Faculty of Manufacturing and Mechatronic Engineering Technology
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 01 Apr 2022 07:38
Last Modified: 01 Apr 2022 07:38
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