Data set on oil palm plantation production and LUC emissions under different management strategies

Jaya Prasanth Rajakal; Raymond R. Tan; Viknesh Andiappan; Yoke Kin Wan; Ming Meng Pang

doi:10.1016/j.dib.2022.108329

Data set on oil palm plantation production and LUC emissions under different management strategies

Jaya Prasanth Rajakal, Raymond R. Tan, Viknesh Andiappan, Yoke Kin Wan, Ming Meng Pang

School of Engineering & Physical Sciences

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Abstract

Oil palm plantations are the fundamental units in a palm supply chain. The fresh fruit bunch (FFB) yield at a plantation varies based on the maturity (age) of the oil palm trees. Failure to account for the maturity can lead to a demand-supply mismatch. To address this issue, Rajakal et al. (2021) have developed a mathematical optimisation model to determine the optimal maturity of the plantations needed to meet the crude palm oil demand. This article presents the data set on the FFB production and land use change (LUC) emissions at the plantations. The model was coded and solved in LINGO 18.0. The data can be used for further investigation in optimising other related activities in a palm supply chain.

Original language	English
Article number	108329
Journal	Data in Brief
Volume	43
Early online date	29 May 2022
DOIs	https://doi.org/10.1016/j.dib.2022.108329
Publication status	Published - Aug 2022

Keywords

FFB production
LUC emissions
Mathematical model
Oil palm plantation
Optimisation

ASJC Scopus subject areas

General

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Data set on oil palm plantation production and LUC emissions under different management strategies",

abstract = "Oil palm plantations are the fundamental units in a palm supply chain. The fresh fruit bunch (FFB) yield at a plantation varies based on the maturity (age) of the oil palm trees. Failure to account for the maturity can lead to a demand-supply mismatch. To address this issue, Rajakal et al. (2021) have developed a mathematical optimisation model to determine the optimal maturity of the plantations needed to meet the crude palm oil demand. This article presents the data set on the FFB production and land use change (LUC) emissions at the plantations. The model was coded and solved in LINGO 18.0. The data can be used for further investigation in optimising other related activities in a palm supply chain.",

keywords = "FFB production, LUC emissions, Mathematical model, Oil palm plantation, Optimisation",

author = "Rajakal, {Jaya Prasanth} and Tan, {Raymond R.} and Viknesh Andiappan and Wan, {Yoke Kin} and Pang, {Ming Meng}",

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AU - Rajakal, Jaya Prasanth

AU - Tan, Raymond R.

AU - Andiappan, Viknesh

AU - Wan, Yoke Kin

AU - Pang, Ming Meng

N1 - Funding Information: The authors gratefully acknowledge the financial support provided by Taylor's University, Malaysia, through its grant in Taylor's PhD Scholarship Programme (TUF/2017/001/01). Publisher Copyright: © 2022 The Authors

PY - 2022/8

Y1 - 2022/8

N2 - Oil palm plantations are the fundamental units in a palm supply chain. The fresh fruit bunch (FFB) yield at a plantation varies based on the maturity (age) of the oil palm trees. Failure to account for the maturity can lead to a demand-supply mismatch. To address this issue, Rajakal et al. (2021) have developed a mathematical optimisation model to determine the optimal maturity of the plantations needed to meet the crude palm oil demand. This article presents the data set on the FFB production and land use change (LUC) emissions at the plantations. The model was coded and solved in LINGO 18.0. The data can be used for further investigation in optimising other related activities in a palm supply chain.

AB - Oil palm plantations are the fundamental units in a palm supply chain. The fresh fruit bunch (FFB) yield at a plantation varies based on the maturity (age) of the oil palm trees. Failure to account for the maturity can lead to a demand-supply mismatch. To address this issue, Rajakal et al. (2021) have developed a mathematical optimisation model to determine the optimal maturity of the plantations needed to meet the crude palm oil demand. This article presents the data set on the FFB production and land use change (LUC) emissions at the plantations. The model was coded and solved in LINGO 18.0. The data can be used for further investigation in optimising other related activities in a palm supply chain.

KW - FFB production

KW - LUC emissions

KW - Mathematical model

KW - Oil palm plantation

KW - Optimisation

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JO - Data in Brief

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Data set on oil palm plantation production and LUC emissions under different management strategies

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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