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Factors Affecting Oil Palm Cultivation Using Machine Learning and Statistical Inference Methods

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Abstract:

Oil palm has become the world’s leading vegetable oil with a tremendous increase in plantations and production. Thailand is among the three largest producers of oil palm. To enhance the oil palm producing potential competitively, the oil palm industry in Thailand has to improve the efficiency of production management among Thai farmers. This work aimed to identify important factors affecting oil palm cultivation based on machine learning and statistical inference methods. The proposed models were evaluated on a data set collected from the local community group for oil palm cultivation and production in Surat Thani and Nakhon Si Thammarat provinces, Thailand. The seedlings’ source and the age of oil palm seedlings were the most significant features according to the analysis.

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Periodical:

Engineering Headway (Volume 13)

Pages:

49-55

DOI:

https://doi.org/10.4028/p-bXilf6

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Online since:

January 2025

Authors:

Kunjira Nuntanart, Voravit Jaituy, Papis Wongchaisuwat*

Keywords:

Decision Tree, Logistic Regression, Machine Learning, Oil Palm, Random Forest, Statistical Inference Method

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© 2025 Trans Tech Publications Ltd. All Rights Reserved

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