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Abstract

Plants are essential for the existence of life on earth. With the advancement of technology research has been carried out in different fields of digital image processing including plant disease detection, plant identification and classification, plant age detection etc. In this review paper plant classification and identification from the leaf image has been discussed using various techniques for visual feature extraction like shape feature, color feature, vein margin etc. This is followed by classification and identification approaches like SVM, KNN, neural network etc. And for the testing of the above discussed methods various evaluation parameters have been described where it has been concluded that maximum efficiency of the system can be attained with combined classifiers.

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