Current and future applications of statistical machine learning algorithms for agricultural machine vision systems

TU Rehman, MS Mahmud, YK Chang, J Jin… - … and electronics in …, 2019 - Elsevier
With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …

Using machine learning techniques for evaluating tomato ripeness

N El-Bendary, E El Hariri, AE Hassanien… - Expert Systems with …, 2015 - Elsevier
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 …

Intelligent color vision system for ripeness classification of oil palm fresh fruit bunch

N Fadilah, J Mohamad-Saleh, ZA Halim, H Ibrahim… - Sensors, 2012 - mdpi.com
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 …

Development of an automatic grading machine for oil palm fresh fruits bunches (FFBs) based on machine vision

M Makky, P Soni - Computers and electronics in agriculture, 2013 - Elsevier
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 …

[PDF][PDF] Color measurement of food products using CIE L* a* b* and RGB color space.

I Markovic, J Ilic, D Markovic, V Simonovic, N Kosanic - 2013 - keypublishing.org
Color of the food is the first parameter of quality evaluated by consumers. What is important
is the acceptance of the product even before being consumed. Inspection of food products is …

[PDF][PDF] Automatic non-destructive quality inspection system for oil palm fruits

M Makky, P Soni, VM Salokhe - International Agrophysics, 2014 - archive.sciendo.com
In this research a non-destructive, rapid and cost effective examination machine for the
estimation of the ripeness fraction, oil content and free fatty acid level in oil palm fresh fruits …

[PDF][PDF] Palm oil fresh fruit bunch ripeness grading identification using color features

N Sabri, Z Ibrahim, S Syahlan, N Jamil… - Journal of Fundamental …, 2017 - ajol.info
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 …

Multi-class SVM based classification approach for tomato ripeness

E Elhariri, N El-Bendary, MMM Fouad, J Platoš… - Innovations in Bio …, 2014 - Springer
This article presents a content-based image classification system to monitor the ripeness
process of tomato via investigating and classifying the different maturity/ripeness stages. The …

Oil palm plantations management effects on productivity Fresh Fruit Bunch (FFB)

I Idayu, E Supriyanto - APCBEE procedia, 2014 - Elsevier
The management of oil palm plantations should consider many criteria and implemented by
the garden manager. If the estate is managed in accordance with the rules and requirements …

Investigations on a novel inductive concept frequency technique for the grading of oil palm fresh fruit bunches

NH Harun, N Misron, RM Sidek, I Aris, D Ahmad… - Sensors, 2013 - mdpi.com
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 …