Apple Diseases Detection and Classification using Image Processing

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Apple Diseases Identify By Image Processing

ISBN: 6202554703
ISBN 13: 9786202554701
Autor: Samajpati, Ms Bhavini J/Degadwala, Dr Sheshang
Verlag: LAP LAMBERT Academic Publishing
Umfang: 120 S.
Erscheinungsdatum: 09.06.2020
Auflage: 1/2020
Format: 0.8 x 22 x 15
Gewicht: 197 g
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 9494458 Kategorie:

Beschreibung

This book includes the utilization of image processing procedures is of outstanding implication for the analysis of agro based applications. In this approach three normal infections of apple fruit are considered i.e. Apple scab, apple rot and apple blotch. In this approach some state of the art color and texture features are extracted from the test image. The color and texture features are fused together and random forest classifier is used for diseases classification and if the fruit is infected by any of the one disease then the infected part is segmented using k-means clustering technique. Then these affected areas are graded by calculating the percentage of affected area. The accuracy of the diseases classification will improve by feature level fusion and classification by Random forest classifier.

Autorenporträt

Ms. Bhavini J. Samajpati completed ME in Computer Engineering from Sigma Institute of Engineering Vadodara, BE from G.H Patel college of engineering and technology, Vallabh Vidhya Nagar. She is currently working as temporary lecturer at The Maharaja Sayajirao University of Baroda, Polytechnic Vadodara, India.

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