Segregation of cashew kernel and areca nut by using advanced colour sorting mechanism
Jyotsna U Bailoor
, Mathias Christen Sunny , Karthik R Anchan , Melston Joyel Tauro , Mr.Ganesh Shetty
Automation, Image Processing, Support Vector Machine, Comparison sort, Sorting
The food quality is very essential to the farmers as well as the end users. As we all know cashew kernels and areca nuts are the commercial commodities that gain foreign revenue in India. The classification is presently performed manually which is less efficient, low speed, expensive and tedious work. For this purpose we need to automate the classification which will lead to less production cost and improves the quality of food. The classification is based on color, texture, shape and size of the cashew kernels and areca nuts. Varieties of the cashew kernels and areca nuts had been collected to classify as the samples for the project.
"Segregation of cashew kernel and areca nut by using advanced colour sorting mechanism", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 5, page no.566 - 572, May-2018, Available :https://ijsdr.org/papers/IJSDR1805085.pdf
Volume 3
Issue 5,
May-2018
Pages : 566 - 572
Paper Reg. ID: IJSDR_180307
Published Paper Id: IJSDR1805085
Downloads: 000347356
Research Area: Engineering
Country: Udupi, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
