Application of Oil Palm Dissection Method to Predict Bunch Production in Commercial-Scale Oil Palm Plantation

DOI

10.2991/978-94-6463-086-2_21How to use a DOI?

Keywords

Oil palm dissection; Prediction; Bunch; Oil palm; Commercial

Abstract

Prediction of the annual oil palm yield is an important decision-making tool in harvesting operational management, management of Palm Oil Mill (POM), trading of Crude Palm Oil (CPO) and its derivative products along with management of POM waste. The palm census method has a better accuracy rate than using previous year’s production data. Calculation the bunch number on the tree is used as an annual prediction by using the Oil Palm Dissection (OPD) method. OPD is carried out to calculate the number of inflorescence and bunches as a basis for predicting bunches for the next 18 months. The purpose of this study is to analyze the application of the commercial scale OPD in bunch prediction activities in oil palm plantations. This research was conducted on oil palm aged 13 – 15 years (plateau yield phase). The research stages include sample selection, tree dissection, inflorescence and bunch modeling, as well as testing the accuracy of the OPD compare to actual production. Prediction-accuracy test uses Mean Absolute Percentage Error (MAPE). The accuracy of OPD in predicting the bunch number is 70% (feasible criteria) and the prediction of oil palm yields production is 81% (good criteria) in oil palm plantations on a commercial scale. Prediction of OPD needs to consider some correction factors such as climate, environment, Average Bunch Weight (ABW), palm age, and soil type, to improve the validation result and accuracy of predictions. The percentage of error in the bunch number between 10 - 32% of the OPD prediction can be combined with other factors to determine the value of the correction factor for bunch loss and oil palm yield production.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Sukarman
AU  - Akhmad Rizalli Saidy
AU  - Gusti Rusmayadi
AU  - Dewi Erika Adriani
AU  - Septa Primananda
AU  - Suwardi
AU  - Herry Wirianata
AU  - Andri Prima Nugroho
AU  - Lilik Sutiarso
PY  - 2022
DA  - 2022/12/28
TI  - Application of Oil Palm Dissection Method to Predict Bunch Production in Commercial-Scale Oil Palm Plantation
BT  - Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)
PB  - Atlantis Press
SP  - 154
EP  - 162
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-086-2_21
DO  - 10.2991/978-94-6463-086-2_21
ID  - 2022
ER  -