Abstract- In present days as there is restrictive interest the farming industry, successful development and enhanced production of fruit is fundamental and imperative. For this reason, agriculturists require manual observation of fruits. But all the time manual observing won't give satisfactory results and they generally require guidance from the master. So there is a requirement for proposing an effective cultivating method that helps for better production and advancement with very less human effort, Image processing strategies are utilized for the implementation of the proposed system. For image segmentation, a K-means clustering method is applied. Four feature vectors are used in the proposed system those are color, morphology, texture, and structure of the hole on the fruit. The system utilizes two image databases, one for the training of already stored disease images and one more for the implementation of query images.

Keywords: K-means clustering, Artificial Neural Network.

PDF | DOI: 10.17148/IJARCCE.2023.125108

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