Oil palm and machine learning: Reviewing one decade of ideas, innovations, applications, and gaps
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 …
intelligent algorithms and strong computation. Oil palm is one of the rich crops that is also …
[HTML][HTML] Expert systems in oil palm precision agriculture: A decade systematic review
Abstract Oil palm (Elaeis guineensis Jacq.) is of the most profitable and widespread
commercial high tree crops in the tropical world, typically in Southeastern Asia. The present …
commercial high tree crops in the tropical world, typically in Southeastern Asia. The present …
Oil palm fresh fruit bunch ripeness detection methods: A systematic review
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 …
has created a need to explore other avenues for harvesting oil palm fresh fruit bunches …
Palm oil fresh fruit bunch ripeness grading recognition using convolutional neural network
This research investigates the application of Convolutional Neural Network (CNN) for palm
oil Fresh Fruit Bunch (FFB) ripeness grading recognition. CNN has become the state-of-the …
oil Fresh Fruit Bunch (FFB) ripeness grading recognition. CNN has become the state-of-the …
Fresh Fruit Bunch Ripeness Classification Methods: A Review
JY Goh, Y Md Yunos, MS Mohamed Ali - Food and Bioprocess Technology, 2024 - Springer
The escalating demand for palm oil necessitates enhanced production strategies. As the
trend shifts towards automated harvesting to meet the demand, precise ripeness …
trend shifts towards automated harvesting to meet the demand, precise ripeness …
Real-time detection of ripe oil palm fresh fruit bunch based on YOLOv4
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 trees at its peak ripeness stage is crucial to maximise the oil extraction rate (OER) …
Classification of oil palm fresh fruit maturity based on carotene content from Raman spectra
The oil yield, measured in oil extraction rate per hectare in the palm oil industry, is directly
affected by the ripening levels of the oil palm fresh fruit bunches at the point of harvesting. A …
affected by the ripening levels of the oil palm fresh fruit bunches at the point of harvesting. A …
Annotated datasets of oil palm fruit bunch piles for ripeness grading using deep learning
The quality of palm oil is strongly influenced by the maturity level of the fruit to be processed
into palm oil. Many studies have been carried out for detecting and classifying the maturity …
into palm oil. Many studies have been carried out for detecting and classifying the maturity …
Towards a real-time oil palm fruit maturity system using supervised classifiers based on feature analysis
Remote sensing sensors-based image processing techniques have been widely applied in
non-destructive quality inspection systems of agricultural crops. Image processing and …
non-destructive quality inspection systems of agricultural crops. Image processing and …
Classification of oil palm fresh fruit bunches based on their maturity using thermal imaging technique
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 …
that affects the profitability and salability of palm oil FFB. Typical methods of grading FFB …