Automated recognition and classification of adulteration levels from bulk paddy grain samples
Fraudulent labeling and adulteration are the major concerns in the global rice industry. Almost all the paddy varieties being sold in the market are prone to adulteration. It is very difficult to differentiate paddy grains of various varieties in the mixed bulk sample based on visual observation. Cu...
Main Authors: | Basavaraj S. Anami, Naveen N. Malvade, Surendra Palaiah |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2019-03-01
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Series: | Information Processing in Agriculture |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2214317318300441 |
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