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

Data Brief. 2022 May 29:43:108329. doi: 10.1016/j.dib.2022.108329. eCollection 2022 Aug.

Authors

Jaya Prasanth Rajakal¹, Raymond R Tan², Viknesh Andiappan³, Yoke Kin Wan⁴, Ming Meng Pang¹

Affiliations

¹ School of Computer Science & Engineering, Taylor's University, Lakeside Campus, No. 1 Jalan Taylor's, 47500 Subang Jaya, Selangor, Malaysia.
² Chemical Engineering Department, De La Salle University, 2401 Taft Avenue, 0922 Manila, Philippines.
³ Faculty of Engineering, Computing and Science, Swinburne University of Technology, Jalan Simpang Tiga, 93350, Kuching, Sarawak, Malaysia.
⁴ Department of Chemical and Environmental Engineering, University of Nottingham Malaysia, Broga Road, 43500 Semenyih, Selangor, Malaysia.

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.