[HTML][HTML] Fruits and vegetables quality evaluation using computer vision: A review

A Bhargava, A Bansal - Journal of King Saud University-Computer and …, 2021 - Elsevier
In agriculture science, automation increases the quality, economic growth and productivity of
the country. The export market and quality evaluation are affected by assorting of fruits and …

An automated detection and classification of citrus plant diseases using image processing techniques: A review

Z Iqbal, MA Khan, M Sharif, JH Shah… - … and electronics in …, 2018 - Elsevier
The citrus plants such as lemons, mandarins, oranges, tangerines, grapefruits, and limes are
commonly grown fruits all over the world. The citrus producing companies create a large …

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 …

Support vector machine in precision agriculture: a review

ZH Kok, ARM Shariff, MSM Alfatni… - … and Electronics in …, 2021 - Elsevier
Abstract The Support Vector Machine (SVM) is a Machine Learning (ML) algorithm which
may be used for acquiring solutions towards better crop management. The applications of …

Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review

B Zhang, W Huang, J Li, C Zhao, S Fan, J Wu… - Food Research …, 2014 - Elsevier
Appearance is a very important sensory quality attribute of fruits and vegetables, which can
influence not only their market value, consumer's preferences and choice but also their …

Recent advances and applications of hyperspectral imaging for fruit and vegetable quality assessment

D Lorente, N Aleixos, J Gómez-Sanchis… - Food and Bioprocess …, 2012 - Springer
Hyperspectral imaging systems are starting to be used as a scientific tool for food quality
assessment. A typical hyperspectral image is composed of a set of a relatively wide range of …

[HTML][HTML] A computer vision system for defect discrimination and grading in tomatoes using machine learning and image processing

D Ireri, E Belal, C Okinda, N Makange, C Ji - Artificial Intelligence in …, 2019 - Elsevier
With large-scale production and the need for high-quality tomatoes to meet consumer and
market standards criteria, have led to the need for an inline, accurate, reliable grading …

Technology progress in mechanical harvest of fresh market apples

Z Zhang, C Igathinathane, J Li, H Cen, Y Lu… - … and Electronics in …, 2020 - Elsevier
This article reviews the research and development progress of mechanical harvest
technologies for fresh market apples over the past decades with a focus on the predominant …

Apple quality identification and classification by image processing based on convolutional neural networks

Y Li, X Feng, Y Liu, X Han - Scientific Reports, 2021 - nature.com
This work researched apple quality identification and classification from real images
containing complicated disturbance information (background was similar to the surface of …

[HTML][HTML] Computer vision-based apple grading for golden delicious apples based on surface features

P Moallem, A Serajoddin, H Pourghassem - Information processing in …, 2017 - Elsevier
In this paper, a computer vision-based algorithm for golden delicious apple grading is
proposed which works in six steps. Non-apple pixels as background are firstly removed from …