A Review of Image Processing Methods for Fruit Disease Detection

Author(s):

Himani Kakkar , Punjabi University; Lakhwinder kaur, punjabi university

Keywords:

Back Propagation Neural Network, CCV, K-means Clustering, LBP, SVM

Abstract:

Fruit disease cause a calamitous problem and results in economic and agricultural industry loss. Earlier detection of infected fruit had done manually but now with the advancement in technology image processing techniques was developed. There are two phases; first is for training and the other is for testing. In training phases, all the data related to the infected and non-infected fruit is stored and in testing phase, it is analyzed that whether the fruit is infected or not and if yes then by which disease. In this paper, the different existing techniques used to detect the infected fruit are discussed. These techniques are proved to be beneficial for the farmers as they help in detection of fruit disease in early stages.

Other Details:

Manuscript Id	:	IJSTEV2I9037
Published in	:	Volume : 2, Issue : 9
Publication Date	:	01/04/2016
Page(s)	:	169-171

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