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Title: :  An Approach for Detection and Classification of Fruit Disease
PaperId: :  2403
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2403
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Zalak R. BarotL. J. Institute of Engineering and Technology
Prof. Narendrasinh LimbadL. J. Institute of Engineering and Technology

Abstract

Information Technology
Image Processing, Pre-Processing, Segmentation, Feature Extraction, Classification
Agriculture is the mother of all cultures. Due to increasing demand in the agricultural industry, the need to effectively grow a plant and increase its yield is very important. Diseases in fruit cause devastating problem in economic losses and production in agricultural industry worldwide. So to protect the product, it is important to monitor the plant during its growth period, as well as, at the time of harvest. In this paper, a solution for the detection and classification of Strawberry fruit diseases is proposed and experimentally validated. For Fruit Disease Detection, the image processing based proposed approach is composed with the following main steps; in first step, Image acquisition is done, After that in second step Preprocessing is done including Noise Remove using masking and Image Enhancement using Discrete Cosine Transform (DCT). In third step Feature Extraction is done, in which, Color Feature Extraction using Color Space Conversion and Texture Feature Extraction using Canny Edge Detection and Dilation. As same as, For Fruit Leaf Disease Detection, the image processing based proposed approach is composed with the following main steps; in first step, Image acquisition is done, in this images are collected from Internet. After that in second step Preprocessing is carried out. In which, Image Enhancement is done using Equalize Histogram and Color Space Conversion. In third step Feature Extraction is done using Gray Level Co-occurrence Matrix (GLCM) for Texture Feature Extraction. After that, classification is done using Support Vector Machine (SVM) Classifier.

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IJARIIE Zalak R. Barot, and Prof. Narendrasinh Limbad. "An Approach for Detection and Classification of Fruit Disease" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 1917-1926
MLA Zalak R. Barot, and Prof. Narendrasinh Limbad. "An Approach for Detection and Classification of Fruit Disease." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 1917-1926.
APA Zalak R. Barot, & Prof. Narendrasinh Limbad. (2016). An Approach for Detection and Classification of Fruit Disease. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 1917-1926.
Chicago Zalak R. Barot, and Prof. Narendrasinh Limbad. "An Approach for Detection and Classification of Fruit Disease." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 1917-1926.
Oxford Zalak R. Barot, and Prof. Narendrasinh Limbad. 'An Approach for Detection and Classification of Fruit Disease', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 1917-1926. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/An_Approach_for_Detection_and_Classification_of_Fruit_Disease_An_Approach_for_detection_and_classification_of_fruit_disease__3_.pdf (Accessed : 20 August 2017).
Harvard Zalak R. Barot, and Prof. Narendrasinh Limbad. (2016) 'An Approach for Detection and Classification of Fruit Disease', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 1917-1926IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/An_Approach_for_Detection_and_Classification_of_Fruit_Disease_An_Approach_for_detection_and_classification_of_fruit_disease__3_.pdf (Accessed : 20 August 2017)
IEEE Zalak R. Barot, and Prof. Narendrasinh Limbad, "An Approach for Detection and Classification of Fruit Disease," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 1917-1926, May-Jun 2016. [Online]. Available: http://ijariie.com/AdminUploadPdf/An_Approach_for_Detection_and_Classification_of_Fruit_Disease_An_Approach_for_detection_and_classification_of_fruit_disease__3_.pdf [Accessed : 20 August 2017].
Turabian Zalak R. Barot, and Prof. Narendrasinh Limbad. "An Approach for Detection and Classification of Fruit Disease." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 (20 August 2017).
Vancouver Zalak R. Barot, and Prof. Narendrasinh Limbad. An Approach for Detection and Classification of Fruit Disease. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : 20 August 2017]; 2(3) : 1917-1926. Available from: http://ijariie.com/AdminUploadPdf/An_Approach_for_Detection_and_Classification_of_Fruit_Disease_An_Approach_for_detection_and_classification_of_fruit_disease__3_.pdf
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