Ripeness classification of oil palm fresh fruit bunches (FFBs) during harvesting is important
to ensure that they are harvested during optimum stage for maximum oil production. This …

Despite being the main oil palm (Elaeis guineensis Jacq.) producer in the world, Indonesia
still has scope to improve its productivity, which is currently limited by inconsistency in …

The oil palm (Elaeis guineensis Jacq.) fresh fruits bunch (FFB) quality can be determined by
its ripeness, oil content (OC) and free fatty acid (FFA) level. The change in fruit's color upon …

From the Malaysian harvester's perspective, the determination of the ripeness of the oil palm
(FFB) is a critical factor to maximize palm oil production. A preliminary study of a novel oil …

This paper investigates the application of eight color models for automatic palm oil Fresh
Fruit Bunch (FFB) ripeness classification with multi-class Support Vector Machine (SVM) …

Color considered as a main character to determine quality of agricultural products,
especially fruit ripeness. Human eyes are excellent in differentiating color, however, human …

This paper presents the ripeness classification of oil palm fresh fruit bunch (FFB) using
artificial neural network (ANN). ANN method was used to automate the decision of grading …

Palm oil products are one of the most important sources of economic and export products in
Malaysia. Furthermore, now, the evolution of industry 4.0 has begun to take place globally …

Being one of the biggest producers and exporters of palm oil and palm oil products,
Malaysia has an important role to play in fulfilling the growing global need for oils and fats …

Many computer vision approaches, such as deep learning and machine learning, can be
employed in agriculture in this era of artificial intelligence (AI). These computer vision …