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Classification of Paddy Varities using Image processing

IJCA Proceedings on National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2012)
© 2012 by IJCA Journal
ncipet - Number 1
Year of Publication: 2012
S. F. Lilhare
N G Bawane

S F Lilhare and N G Bawane. Article: Classification of paddy Variries using Image processing. IJCA Proceedings on National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2012) ncipet(1):33-35, March 2012. Full text available. BibTeX

	author = {S. F. Lilhare and N G Bawane},
	title = {Article: Classification of paddy Variries using Image processing},
	journal = {IJCA Proceedings on National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2012)},
	year = {2012},
	volume = {ncipet},
	number = {1},
	pages = {33-35},
	month = {March},
	note = {Full text available}


This paper presents the classification method of various paddy varieties as per the rice processing requirement. In first phase four morphological features of the individual as well as group's average features of paddy were extracted using image processing. Out of these four features only two features (minor axis and area) are providing sufficient information to classify the paddy as per the requirement of rice dryer and processing plant. In the second stage a feed forward neural network was applied to classify the extracted data. These data were classified in to large, medium and small samples. Another 10 sets of samples were tested using NN and it is found that all these samples are classified properly.


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