Transfer Learning-Based Classification of Oil Palm Bunch Maturity from Digital Image Data

DOI

10.2991/978-94-6463-982-7_3How to use a DOI?

Keywords

Digital Image Classification; Transfer Learning; Mobilenetv2; Palm Fruit Ripeness; Deep Learning

Abstract

Automatically classifying the ripeness level of oil palm fruit is a critical challenge in the precision agriculture industry, particularly to support efficient and optimal harvesting. This study proposes a digital image-based classification approach by applying the transfer learning method using the MobileNetV2 architecture. This model was chosen due to its efficiency in image processing and its ability to extract deep visual features with low computational complexity. The training process was carried out using pre-trained weights from ImageNet, which were then modified and adjusted for binary classification between ripe and unripe oil palm fruit. Model evaluation was carried out using accuracy, precision, recall, and F1-score metrics. The test results showed that the model achieved the highest validation accuracy of 94.5% with a configuration of 100 epochs and a batch size of 128. The stable accuracy curve between the training and validation data indicates good generalization performance and minimal overfitting. Thus, this approach is proven effective in classifying the ripeness level of oil palm fruit accurately and efficiently and has the potential to be applied as an artificial intelligence-based solution in the field of digital agriculture.

Copyright

© 2025 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  - Al-Khowarizmi
AU  - Ferry Fachrizal
AU  - Arif Ridho Lubis
PY  - 2025
DA  - 2025/12/29
TI  - Transfer Learning-Based Classification of Oil Palm Bunch Maturity from Digital Image Data
BT  - Proceedings of the  8th International Conference on Applied Engineering (ICAE 2025)
PB  - Atlantis Press
SP  - 26
EP  - 39
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-982-7_3
DO  - 10.2991/978-94-6463-982-7_3
ID  - 2025
ER  -