Version 1
: Received: 10 August 2021 / Approved: 11 August 2021 / Online: 11 August 2021 (15:44:03 CEST)
How to cite:
Abubakar, A.; Ishak, M.Y.; Uddin, M.K.; Ponrahono, Z.; Uba, M.M. Modeling the Influence of Certain Weather Parameters on Oil Palm Production in Peninsular Malaysia. Preprints2021, 2021080266. https://doi.org/10.20944/preprints202108.0266.v1
Abubakar, A.; Ishak, M.Y.; Uddin, M.K.; Ponrahono, Z.; Uba, M.M. Modeling the Influence of Certain Weather Parameters on Oil Palm Production in Peninsular Malaysia. Preprints 2021, 2021080266. https://doi.org/10.20944/preprints202108.0266.v1
Abubakar, A.; Ishak, M.Y.; Uddin, M.K.; Ponrahono, Z.; Uba, M.M. Modeling the Influence of Certain Weather Parameters on Oil Palm Production in Peninsular Malaysia. Preprints2021, 2021080266. https://doi.org/10.20944/preprints202108.0266.v1
APA Style
Abubakar, A., Ishak, M.Y., Uddin, M.K., Ponrahono, Z., & Uba, M.M. (2021). Modeling the Influence of Certain Weather Parameters on Oil Palm Production in Peninsular Malaysia. Preprints. https://doi.org/10.20944/preprints202108.0266.v1
Chicago/Turabian Style
Abubakar, A., Zakiah Ponrahono and Murtala Muhammad Uba. 2021 "Modeling the Influence of Certain Weather Parameters on Oil Palm Production in Peninsular Malaysia" Preprints. https://doi.org/10.20944/preprints202108.0266.v1
Abstract
Oil palm is one of the most important crops in Malaysia. Lately, the production of oil palm has been reduced due to a variety of factors, including the weather and climate. Temperature, wind speed, relative humidity, sunshine, and rainfall distribution all have an impact on palm tree growth and development, which in turn has an impact on oil palm production. This paper aims to investigate the effects of some weather elements (temperature, wind speed, relative humidity, sunshine, and rainfall) on oil palm production in Peninsular Malaysia. Data were analyzed using the Statistical Package for Social Sciences (SPSS 20.0 version), with descriptive statistics, and multiple linear regression (MLR). The MLR model determined the strength of the relationship between oil palm yield (dependent variable) and the changing variables of temperature, sunshine, wind speed, relative humidity, and rainfall (independent variables). The findings revealed that temperature, wind speed, relative humidity, sunshine, and rainfall have a low impact on oil palm production and yield turnover. The R2 value of 0.202 shows that the independent variables explained only 20.2% of the fluctuation in palm oil production. The study recommends working within an integrated approach involving scientific research, planting, improving variety, improving regional academic leadership, and engaging private and public stakeholders, emphasized collaborative efforts with researchers in consumer countries, and strengthening the capacity of growers to best agroecological practices.
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
