Utilization of Big Data in Oil Palm Plantation to Predict Production Using Artificial Neural Network Model

DOI

10.2991/978-94-6463-086-2_67How to use a DOI?

Keywords

Oil Palm; Precision Agriculture; Big Data; Artificial Neural Network

Abstract

The oil palm plantations in Indonesia are more than 14 million hectares and have been cultivated for more than 100 years in various types of land, climates, and various technical cultural treatments. The cultivation process will produce very large data. However, the utilization of these data has not been optimal and is still being managed partially. In the 4.0 industrial revolution, big data is a key asset in building artificial intelligence to support precision agriculture. One of the uses of big data is to build predictive models. An artificial Neural Network (ANN) is a model that can be used to predict by utilizing big data. On the other hand, production prediction is a very important activity to help planters in making decisions on all plantation activities. This study aims to use big data in oil palm plantations to predict production using ANN. The input data used in this study are components that have an influence on production. Meanwhile, the output to be predicted is annual yield and FFB production. The ANN model used is multilayer perceptron backpropagation with architecture 24-25-35-25-1. This model can accurately predict annual yield and total production based on block, division, estate, palm age, and progeny with MAPE and R are 10.52 % and 0.96 respectively.

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.

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TY  - CONF
AU  - Muhdan Syarovy
AU  - Andri Prima Nugroho
AU  - Lilik Sutiarso
AU  - Suwardi
AU  - Mukhes Sri Muna
AU  - Ardan Wiratmoko
AU  - Sukarman
AU  - Septa Primananda
PY  - 2022
DA  - 2022/12/28
TI  - Utilization of Big Data in Oil Palm Plantation to Predict Production Using Artificial Neural Network Model
BT  - Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)
PB  - Atlantis Press
SP  - 492
EP  - 502
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-086-2_67
DO  - 10.2991/978-94-6463-086-2_67
ID  - Syarovy2022
ER  -