Developments in computer vision system, focusing on its applications in quality inspection of fruits and vegetables-A review
| Autor: | Bahvesh Chavhan, Adil Shaikh, Madhav R. Patil, Mahesh Deshmukh, Santosh Chopde |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
education.field_of_study business.industry Process (engineering) media_common.quotation_subject Population Image processing 04 agricultural and veterinary sciences 02 engineering and technology Safety standards Objective quality 040501 horticulture General Energy Fruits and vegetables 0202 electrical engineering electronic engineering information engineering Determination methods 020201 artificial intelligence & image processing Computer vision Quality (business) Artificial intelligence 0405 other agricultural sciences business education media_common |
| Zdroj: | Agricultural Reviews. 38 |
| ISSN: | 0976-0741 0253-1496 |
| DOI: | 10.18805/ag.v38i02.7940 |
| Popis: | Quality inspection of food is a tedious and labor intensive process. Ever-increasing population, losses in handling and processing and the increased expectation of food products of high quality and safety standards has raised the need for accurate, fast and objective quality determination methods. Manual quality inspection is a slow, costly, unreliable process and suffers from poor repeatability. Computer vision provides one alternative for an automated, non-destructive and cost-effective technique to accomplish these requirements. Computer vision is a rapid, economic, consistent, objective inspection and evaluation technique. Computer vision has been successfully adopted for the quality analysis of meat and fish, fruits, vegetables and bread with applications ranging from routine inspection to the complex vision guided robotic control. The paper presents the recent developments in computer vision technology along with important aspects of image processing techniques coupled with application of computer vision technology in quality inspection of fruits and vegetables. |
| Databáze: | OpenAIRE |
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