Oil palm and machine learning: Reviewing one decade of ideas, innovations, applications, and gaps

N Khan, MA Kamaruddin, UU Sheikh, Y Yusup… - Agriculture, 2021 - mdpi.com
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 …

[HTML][HTML] Expert systems in oil palm precision agriculture: A decade systematic review

XJ Tan, WL Cheor, KS Yeo, WZ Leow - Journal of King Saud University …, 2022 - Elsevier
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 …

[HTML][HTML] Real-time hyperspectral imaging for the in-field estimation of strawberry ripeness with deep learning

Z Gao, Y Shao, G Xuan, Y Wang, Y Liu… - Artificial Intelligence in …, 2020 - Elsevier
Strawberry is one of the popular fruits with numerous nutrients. The ripeness of this fruits
was estimated using the hyperspectral imaging (HSI) system in field and laboratory …

Oil palm fresh fruit bunch ripeness classification on mobile devices using deep learning approaches

GN Elwirehardja, JS Prayoga - Computers and Electronics in Agriculture, 2021 - Elsevier
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 …

Oil palm fresh fruit bunch ripeness detection methods: A systematic review

JW Lai, HR Ramli, LI Ismail, WZ Wan Hasan - Agriculture, 2023 - mdpi.com
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 …

[HTML][HTML] Object detection algorithms for ripeness classification of oil palm fresh fruit bunch

M Mansour, KD Dambul, KY Choo - International Journal of …, 2022 - ijtech.eng.ui.ac.id
Ripe oil palm fresh fruit bunch allows extraction of high-quality crude palm oil and kernel
palm oil. As the fruit ripens, its surface color changes from black (unripe) or dark purple …

Banana ripeness classification based on deep learning using convolutional neural network

RE Saragih, AWR Emanuel - 2021 3rd East Indonesia …, 2021 - ieeexplore.ieee.org
Fruit ripeness is an important thing in agriculture because it determines the fruit's quality.
Determining the ripeness of the fruit that was done manually poses several weaknesses …

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 …

Size classification of tomato fruit using thresholding, machine learning, and deep learning techniques

RG de Luna, EP Dadios, AA Bandala… - AGRIVITA Journal of …, 2019 - agrivita.ub.ac.id
The size of tomato fruits is closely related to the market segment and price. Manual sorting in
tomato is very dependent on human interpretation and thus, very prone to error. The study …

Deep learning for oil palm fruit ripeness classification with DenseNet

H Herman, TW Cenggoro, A Susanto… - 2021 international …, 2021 - ieeexplore.ieee.org
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 …