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	<title>modelling &#8211; Journal of Oil Palm Research</title>
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		<title>PREDICTION OF OIL PALM BUNCHES PRODUCTION USING ARTIFICIAL NEURAL NETWORK</title>
		<link>https://jopr.mpob.gov.my/prediction-of-oil-palm-bunches-production-using-artificial-neural-network/</link>
		
		<dc:creator><![CDATA[mpob_admin]]></dc:creator>
		<pubDate>Wed, 13 Aug 2025 05:44:50 +0000</pubDate>
				<category><![CDATA[Article In Press]]></category>
		<category><![CDATA[oil palm]]></category>
		<category><![CDATA[modelling]]></category>
		<category><![CDATA[artificial intelligence]]></category>
		<guid isPermaLink="false">https://jopr.mpob.gov.my/?p=14717</guid>

					<description><![CDATA[The study aimed to evaluate the ability of Artificial Neural Networks (ANN) to estimate the current monthly production of oil palm bunches using variables from the forest inventory, climatic elements, water deficit, soil and those related to the registration and management of plantations. The ANN estimated current production with a correlation above 0.6 and an [&#8230;]]]></description>
										<content:encoded><![CDATA[<p style="text-align: justify;"><em>The study aimed to evaluate the ability of Artificial Neural Networks (ANN) to estimate the current monthly production of oil palm bunches using variables from the forest inventory, climatic elements, water deficit, soil and those related to the registration and management of plantations. The ANN estimated current production with a correlation above 0.6 and an average percentage relative error of around 13.0%, with the variables that gave the greatest contribution to modelling being those related to management, soil, genetic material and the accounting of mature bunches. Climatic variables were not as important, however, due to the influence of the climatic element on oil palm productivity, it is necessary to keep them in the modelling. The ANN demonstrated that it is capable of modelling oil palm production, characterised by high variability, opening opportunities for future studies, combining and using new variables to improve the accuracy of estimates using this tool.</em></p>
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		<title>AN ECONOMETRIC ANALYSIS OF THE INDONESIAN PALM OIL INDUSTRY</title>
		<link>https://jopr.mpob.gov.my/an-econometric-analysis-of-the-indonesian-palm-oil-industry/</link>
		
		<dc:creator><![CDATA[mpob_admin]]></dc:creator>
		<pubDate>Fri, 26 Mar 2021 07:32:48 +0000</pubDate>
				<category><![CDATA[Vol. 6 No. 1 June 1994]]></category>
		<category><![CDATA[palm oil]]></category>
		<category><![CDATA[consumption]]></category>
		<category><![CDATA[econometric analysis]]></category>
		<category><![CDATA[modelling]]></category>
		<category><![CDATA[production]]></category>
		<guid isPermaLink="false">https://jopr.mpob.gov.my/V2/?p=2322</guid>

					<description><![CDATA[The main objective of this paper is to specify and estimate a structural model of the Indonesian palm oil industry. The principal variables considered are mature planted area, production of palm oil and domestic consumption of palm oil in Indonesia. The ordinary least squares (OLS) technique is used as equations for mature area and production [&#8230;]]]></description>
										<content:encoded><![CDATA[<p style="text-align: justify;">The main objective of this paper is to specify and estimate a structural model of the Indonesian palm oil industry. The principal variables considered are mature planted area, production of palm oil and domestic consumption of palm oil in Indonesia. The ordinary least squares (OLS) technique is used as equations for mature area and production have a recursive structure, and because domestic consumption of palm oil is related only to exogenous variables. The main results are as follows; Mature area is influenced inversely by lagged wage rates and directly by lagged investment in oil palm, two important determinants of planting decisions. The only variable that is significant in the estimated production function is the time trend variable, a proxy for disembodied technical progress. Finally, domestic consumption of palm oil is found to be highly elastic with respect to the own-price and the price of final goods.</p>
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