Citation
Abstract
The objective of this study is to model oil palm yield distributions and investigate the factors that influence oil palm yields in Peninsular Malaysia using remote sensing and geographical information system (GIS) techniques. Herein, we investigate six factors that influence oil palm yield in Peninsular Malaysia, including mean annual minimum and maximum temperatures, mean annual rainfall, average number of rainy days per year, average annual relative humidity, and elevation. In order to model oil palm yield in Peninsular Malaysia, a large yield dataset covering Peninsular Malaysia for 37 years (1983 to 2020), as well as related explanatory variables, were collected. Areal interpolation was used to model the average yield distribution across the study area. The findings of this study show that oil palm yields vary across Peninsular Malaysia. Due to favourable climate and elevation, southern and southwestern Peninsular Malaysia, including Johor, Pahang, Melaka, and Selangor, recorded the highest amount of yield.
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Agriculture Faculty of Forestry and Environment |
DOI Number: | https://doi.org/10.54386/jam.v25i1.1871 |
Publisher: | Association of Agrometeorologists (AAM) |
Keywords: | Oil palm; Modelling; Yield; Plantation; Peninsular Malaysia; Life on land; Sustainable cities and communities |
Depositing User: | Ms. Zaimah Saiful Yazan |
Date Deposited: | 24 Sep 2024 07:48 |
Last Modified: | 24 Sep 2024 07:48 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.54386/jam.v25i1.1871 |
URI: | http://psasir.upm.edu.my/id/eprint/108104 |
Statistic Details: | View Download Statistic |
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