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Title: :  AN OPTIMIZED METHOD FOR SEGMENTATION AND CLASSIFICATION OF APPLE DISEASES BASED ON CONVOLUTIONAL NEURAL NETWORK
PaperId: :  11816
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 6 Issue 2 2020
DUI:    16.0415/IJARIIE-11816
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
R.NithyaAnand Institute of Higher Technology
N.ReethuAnand Institute of Higher Technology
Mrs.K.RejiniAnand Institute of Higher Technology

Abstract

Computer Engineering
pre-processing, segmentation, convolution neural network.
Agriculture is a major part of the world economy as it provides food safety. However, in recent years, it has been noted that plants are extensively infected by different diseases. This causes enormous economic losses in the agriculture industry around the world. The manual inspection of fruit diseases is a difficult process which can be minimized by using automated methods for detection of plant diseases at the earlier stage. In this article, a new method is implemented for apple diseases identification and recognition. Three pipeline procedures are followed preprocessing, spot segmentation and classification. In the first step, the apple leaf spots are enhanced by a hybrid method which is the conjunction of 3D box filtering, de-correlation, RGB color model. After that, the lesion spots are segmented by converting the red channel to black and white channel. Finally, the segmented red channel image is classified by CNN Classifier. The experimental results are performed on the Plant Village dataset. The proposed methodology is tested for four types of apple disease classes including healthy leaves, Black rot, Rust, and Scab. The classification results show the improvement of our method on selected apple diseases. Moreover, the good preprocessing step always produced prominent features which later achieved significant classification accuracy.

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IJARIIE R.Nithya, N.Reethu, and Mrs.K.Rejini. "AN OPTIMIZED METHOD FOR SEGMENTATION AND CLASSIFICATION OF APPLE DISEASES BASED ON CONVOLUTIONAL NEURAL NETWORK" International Journal Of Advance Research And Innovative Ideas In Education Volume 6 Issue 2 2020 Page 1307-1315
MLA R.Nithya, N.Reethu, and Mrs.K.Rejini. "AN OPTIMIZED METHOD FOR SEGMENTATION AND CLASSIFICATION OF APPLE DISEASES BASED ON CONVOLUTIONAL NEURAL NETWORK." International Journal Of Advance Research And Innovative Ideas In Education 6.2(2020) : 1307-1315.
APA R.Nithya, N.Reethu, & Mrs.K.Rejini. (2020). AN OPTIMIZED METHOD FOR SEGMENTATION AND CLASSIFICATION OF APPLE DISEASES BASED ON CONVOLUTIONAL NEURAL NETWORK. International Journal Of Advance Research And Innovative Ideas In Education, 6(2), 1307-1315.
Chicago R.Nithya, N.Reethu, and Mrs.K.Rejini. "AN OPTIMIZED METHOD FOR SEGMENTATION AND CLASSIFICATION OF APPLE DISEASES BASED ON CONVOLUTIONAL NEURAL NETWORK." International Journal Of Advance Research And Innovative Ideas In Education 6, no. 2 (2020) : 1307-1315.
Oxford R.Nithya, N.Reethu, and Mrs.K.Rejini. 'AN OPTIMIZED METHOD FOR SEGMENTATION AND CLASSIFICATION OF APPLE DISEASES BASED ON CONVOLUTIONAL NEURAL NETWORK', International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, 2020, p. 1307-1315. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/AN_OPTIMIZED_METHOD_FOR_SEGMENTATION_AND_CLASSIFICATION_OF_APPLE_DISEASES_BASED_ON_CONVOLUTIONAL_NEURAL_NETWORK_ijariie11816.pdf (Accessed : 21 February 2024).
Harvard R.Nithya, N.Reethu, and Mrs.K.Rejini. (2020) 'AN OPTIMIZED METHOD FOR SEGMENTATION AND CLASSIFICATION OF APPLE DISEASES BASED ON CONVOLUTIONAL NEURAL NETWORK', International Journal Of Advance Research And Innovative Ideas In Education, 6(2), pp. 1307-1315IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/AN_OPTIMIZED_METHOD_FOR_SEGMENTATION_AND_CLASSIFICATION_OF_APPLE_DISEASES_BASED_ON_CONVOLUTIONAL_NEURAL_NETWORK_ijariie11816.pdf (Accessed : 21 February 2024)
IEEE R.Nithya, N.Reethu, and Mrs.K.Rejini, "AN OPTIMIZED METHOD FOR SEGMENTATION AND CLASSIFICATION OF APPLE DISEASES BASED ON CONVOLUTIONAL NEURAL NETWORK," International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, pp. 1307-1315, Mar-App 2020. [Online]. Available: https://ijariie.com/AdminUploadPdf/AN_OPTIMIZED_METHOD_FOR_SEGMENTATION_AND_CLASSIFICATION_OF_APPLE_DISEASES_BASED_ON_CONVOLUTIONAL_NEURAL_NETWORK_ijariie11816.pdf [Accessed : 21 February 2024].
Turabian R.Nithya, N.Reethu, and Mrs.K.Rejini. "AN OPTIMIZED METHOD FOR SEGMENTATION AND CLASSIFICATION OF APPLE DISEASES BASED ON CONVOLUTIONAL NEURAL NETWORK." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 6 number 2 (21 February 2024).
Vancouver R.Nithya, N.Reethu, and Mrs.K.Rejini. AN OPTIMIZED METHOD FOR SEGMENTATION AND CLASSIFICATION OF APPLE DISEASES BASED ON CONVOLUTIONAL NEURAL NETWORK. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2020 [Cited : 21 February 2024]; 6(2) : 1307-1315. Available from: https://ijariie.com/AdminUploadPdf/AN_OPTIMIZED_METHOD_FOR_SEGMENTATION_AND_CLASSIFICATION_OF_APPLE_DISEASES_BASED_ON_CONVOLUTIONAL_NEURAL_NETWORK_ijariie11816.pdf
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