Abstract

Carrying out Food and Agricultural product Quality Inspection manually is a laborious task. Maintaining consistent product quality is not possible due to human errors. Customer expectations are increasing day by day and seek products of high quality. However, in India the Inspection of Food and Agricultural produce is done manually in most of the cases. Work in the Computer Vision area is being extensively carried out these days to provide automated, non-destructive and cost-effective techniques to achieve this. Computer Vision uses Image processing as one of the intermediary tools to achieve the ultimate objective. Cashew is one of the important commercial crops of India. The objective of this research is to provide an image processing method for measuring cashew kernel Size (i.e. length and width/height) with an accurate and smallest relative error.

Original languageEnglish
DOIs
Publication statusPublished - 01-12-2012
Event2012 3rd International Conference on Computing, Communication and Networking Technologies, ICCCNT 2012 - Coimbatore, Tamilnadu, India
Duration: 26-07-201228-07-2012

Conference

Conference2012 3rd International Conference on Computing, Communication and Networking Technologies, ICCCNT 2012
CountryIndia
CityCoimbatore, Tamilnadu
Period26-07-1228-07-12

Fingerprint

Computer vision
Image processing
Inspection
Agricultural products
Crops
Costs

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Narendra, V. G., Shetty, D. K., & Hareesh, K. S. (2012). Computer Vision system for cashew kernel area estimation. Paper presented at 2012 3rd International Conference on Computing, Communication and Networking Technologies, ICCCNT 2012, Coimbatore, Tamilnadu, India. https://doi.org/10.1109/ICCCNT.2012.6395942
Narendra, V. G. ; Shetty, Dasharathraj K. ; Hareesh, K. S. / Computer Vision system for cashew kernel area estimation. Paper presented at 2012 3rd International Conference on Computing, Communication and Networking Technologies, ICCCNT 2012, Coimbatore, Tamilnadu, India.
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Narendra, VG, Shetty, DK & Hareesh, KS 2012, 'Computer Vision system for cashew kernel area estimation' Paper presented at 2012 3rd International Conference on Computing, Communication and Networking Technologies, ICCCNT 2012, Coimbatore, Tamilnadu, India, 26-07-12 - 28-07-12, . https://doi.org/10.1109/ICCCNT.2012.6395942

Computer Vision system for cashew kernel area estimation. / Narendra, V. G.; Shetty, Dasharathraj K.; Hareesh, K. S.

2012. Paper presented at 2012 3rd International Conference on Computing, Communication and Networking Technologies, ICCCNT 2012, Coimbatore, Tamilnadu, India.

Research output: Contribution to conferencePaper

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AB - Carrying out Food and Agricultural product Quality Inspection manually is a laborious task. Maintaining consistent product quality is not possible due to human errors. Customer expectations are increasing day by day and seek products of high quality. However, in India the Inspection of Food and Agricultural produce is done manually in most of the cases. Work in the Computer Vision area is being extensively carried out these days to provide automated, non-destructive and cost-effective techniques to achieve this. Computer Vision uses Image processing as one of the intermediary tools to achieve the ultimate objective. Cashew is one of the important commercial crops of India. The objective of this research is to provide an image processing method for measuring cashew kernel Size (i.e. length and width/height) with an accurate and smallest relative error.

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Narendra VG, Shetty DK, Hareesh KS. Computer Vision system for cashew kernel area estimation. 2012. Paper presented at 2012 3rd International Conference on Computing, Communication and Networking Technologies, ICCCNT 2012, Coimbatore, Tamilnadu, India. https://doi.org/10.1109/ICCCNT.2012.6395942