Turmeric Grading on Principle Characteristics |
Author(s): |
Manjula R Chougala , VTU, Belagavi, Karnataka; Dr.Ramachandra A C , NMIT, Bangalore |
Keywords: |
Turmeric, moisture content, Digitization Curcuma Longa L, Computer Vision (CV) |
Abstract |
India is depending on agriculture and related allied sectors for livelihood. More than 70% of population depend primarily on agriculture. Soil, climate and rainfall are most favourable for various crops. There are few rare and important crops grown in all regions of India in different varieties, one among those crops is Turmeric. Agriculture products marketing has become automated as the result of advanced technologies in Digital Image Processing (DIP) and Computer Vision (CV) techniques. In today’s fast, competitive marketing, consumers tend to have healthy and hygienic products that are sorted according to their physical characteristics like appearance, colour, size, moisture content, quality, variety and other physical properties depending on the products. Grading is crucial and important stage after harvesting, storing and before marketing any agricultural products. Turmeric Grading is an overall assessment of quality, based on appearance with respect to colour, shape, texture and size. Curcumin is the colour component in turmeric and obtained by cross sectional image of rhizomes. This paper focuses on grading of Turmeric on curcumin colour by extracting Red Green and Blue (RGB) values using histogram and K-NN classifier. The classification of turmeric rhizomes based on size is done by calculating the area of the rhizome’s images. Canny edge detection algorithm is used for edge-based segmentation and area is calculated by pixel count of the image and categorized into three grades. |
Other Details |
Paper ID: IJSRDV8I100210 Published in: Volume : 8, Issue : 10 Publication Date: 01/01/2021 Page(s): 398-402 |
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