scholarly journals QUALITY FRUIT GRADING BY COLOUR MACHINE VISION: DEFECT RECOGNITION

2000 ◽  
pp. 405-412 ◽  
Author(s):  
V. Leemans ◽  
M.-F. Destain ◽  
H. Magein
Keyword(s):  
Machine Vision ◽  
Vision Defect ◽  
Fruit Grading ◽  
Defect Recognition

Features Extraction for Eggplant Fruit Grading System Using Machine Vision

2008 ◽  
Vol 24 (5) ◽  
pp. 675-684 ◽  
Author(s):  
V. K. Chong ◽  
N. Kondo ◽  
K. Ninomiya ◽  
T. Nishi ◽  
M. Monta ◽  
...  
Keyword(s):  
Machine Vision ◽  
Features Extraction ◽  
Grading System ◽  
Fruit Grading

scholarly journals Study on the Fruit Grading Recognition System Based on Machine Vision

2015 ◽  
Vol 8 (11) ◽  
pp. 777-780 ◽  
Author(s):  
Huan Ma ◽  
Ming Chen ◽  
Jianwei Zhang
Keyword(s):  
Machine Vision ◽  
Recognition System ◽  
Fruit Grading

scholarly journals Machine Vision Systems in Precision Agriculture for Crop Farming

2019 ◽  
Vol 5 (12) ◽  
pp. 89 ◽  
Author(s):  
Efthimia Mavridou ◽  
Eleni Vrochidou ◽  
George A. Papakostas ◽  
Theodore Pachidis ◽  
Vassilis G. Kaburlasos
Keyword(s):  
Machine Vision ◽  
Recent Work ◽  
Health Monitoring ◽  
Precision Agriculture ◽  
Research Interest ◽  
Agricultural Activities ◽  
Cognitive Technology ◽  
Considerable Research ◽  
Crop Farming ◽  
Fruit Grading

Machine vision for precision agriculture has attracted considerable research interest in recent years. The aim of this paper is to review the most recent work in the application of machine vision to agriculture, mainly for crop farming. This study can serve as a research guide for the researcher and practitioner alike in applying cognitive technology to agriculture. Studies of different agricultural activities that support crop harvesting are reviewed, such as fruit grading, fruit counting, and yield estimation. Moreover, plant health monitoring approaches are addressed, including weed, insect, and disease detection. Finally, recent research efforts considering vehicle guidance systems and agricultural harvesting robots are also reviewed.

scholarly journals Design and evaluation of features and classifiers for OLED panel defect recognition in machine vision

2017 ◽  
Vol 1 (4) ◽  
pp. 334-350 ◽  
Author(s):  
Van Huan Nguyen ◽  
Van Huy Pham ◽  
Xuenan Cui ◽  
Mingjie Ma ◽  
Hakil Kim
Keyword(s):  
Machine Vision ◽  
Defect Recognition

Research of Solar Cell Surface Defect Detection System Based on Machine Vision

2013 ◽  
Vol 718-720 ◽  
pp. 532-536 ◽  
Author(s):  
Mei Lin Feng ◽  
Xian Juan Zhou ◽  
Jian Guo Yu
Keyword(s):  
Solar Cells ◽  
Solar Cell ◽  
Machine Vision ◽  
Surface Defect ◽  
Detection System ◽  
Support Vector ◽  
Inspection System ◽  
Concept Design ◽  
Surface Defect Detection ◽  
Defect Recognition

According to the surface quality problem of the solar cells, the machine vision detection system is designed. Concept design of the visual inspection system, hardware configuration and software work process are described in detail. In the experimental process, solar cell images are collected in the motion state, the image characteristics of all kinds of damage are extracted, and the least squares support vector machine algorithm is used to construct the solar cell defect recognition model, the intelligent detection and classification of the solar cells can be achieved. Practice dictates that the system is effective to detect the surface defect of solar cells, guide the production process and improve the quality of products.

scholarly journals Challenging Issues in Automated Oil Palm Fruit Grading

2018 ◽  
Vol 7 (3) ◽  
pp. 111
Author(s):  
Gaurang S Patkar ◽  
Anjaneyulu G.S.G.N ◽  
Chandra Mouli P.V.S.S.R
Keyword(s):  
Fuzzy Logic ◽  
Natural Products ◽  
Machine Vision ◽  
Natural Product ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Industry ◽  
Palm Fruit ◽  
Organic Products ◽  
Fruit Grading

<span lang="TR">Late advancement in Agriculture segment utilizing Image preparing and fuzzy logic methods has empowered ranchers to expand the yield of harvest and served the nourishment needs of the whole people. Look into in horticulture is pointed towards increment in the profitability, quality and lessening the likelihood of blunder presented by people. The biggest oil palm creation is in Malaysia and Indonesia and they send out palm oil to different nations on the planet. The most outrageous enthusiasm for palm oil is in India. This came to fruition India into Palm Oil advancement and era in various states . With a specific end goal to expand the efficiency of palm oil organic products, palm oil industry and in addition analysts utilizes different machine-vision systems to review the natural products. Tragically, the information caught and prepared is confronted with restricted learning and accuracy. There are a few difficulties required with the outline and usage of palm oil organic product reviewing. This paper introduces an outline of different Image handling and fuzzy logic methods, distinguishes and addresses testing issues in computerized palm natural product evaluating.</span>

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