Machine learning (ML) offers new technologies in the precision agriculture domain with its
intelligent algorithms and strong computation. Oil palm is one of the rich crops that is also …

The increasing severity of the labour shortage problem in the Malaysian palm oil industry
has created a need to explore other avenues for harvesting oil palm fresh fruit bunches …

The implementations of deep learning combined with other methods such as transfer
learning and data augmentation in oil palm fresh fruit bunch (FFB) ripeness classification …

Tomato quality is one of the most important factors that helps ensuring a consistent
marketing of tomato fruit. As ripeness is the main indicator for tomato quality from customers …

Fresh Fruit Bunch (FFB) is the main ingredient in palm oil production. Harvesting FFB from
oil palm trees at its peak ripeness stage is crucial to maximise the oil extraction rate (OER) …

Oil palm fruit farming is one of the most leading agriculture industries in the South East Asia
region. Unfortunately, most of the harvesting method is still done through manual labor …

Oil palm is one of the leading agricultural industries, especially in the South East Asian
region. However, oil palm fruit ripeness classification based on computer vision has not …

The maturity of oil palm Fresh Fruit Bunches (FFB) is considered to be a significant factor
that affects the profitability and salability of palm oil FFB. Typical methods of grading FFB …

Published onl ABSTRACT This research investigates the ripeness grad features that are
color histogram, color mo during the optimum stage of its ripeness s Harvesting wrong …

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 …