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Title: :  Classification and Identification of Multiple Leaf Diseases Using Inception-ResNet V2 (CNN Architecture)
PaperId: :  16467
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 2 2022
DUI:    16.0415/IJARIIE-16467
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Shubham Rajkumar WableAISSMS IOIT , Pune
Saurabh Sanjay ShitoleAISSMS IOIT , Pune
Rohit Rajendra SardeAISSMS IOIT , Pune
Akshay Jitendra ThoratAISSMS IOIT , Pune
Prof. Minal ZopeAISSMS IOIT , Pune

Abstract

Deep Learning (Computer Engineering)
Deep Learning, Machine Learning, Convolutional Neural Network , Inception ResNet V2, Image Processing, Pooling and Feature Extraction.
India is a agricultural country, most of the people here are farmers. Still farmers are not able to increase their income, productivity due to different types of diseases in plant. It has a negative impact on farming. Now a days number of diseases are increased, so identifying the name of disease is one of the challengefor farmers. If plant diseases are not discovered in early stage, then this can harm crop in large extent, so we need to create a system which can easily identify the name of disease. And also, in India most of the farmers are not educated so we also required to create a simple user interface either by using web development or by using Android app development.Usually, plant’s leaf is primary source for identifying the name of the disease, so we required to create a CNN model which can easily identify the name of the disease by scanning the photo of leaf. If farmers are able to identify the disease in the early stage,they can take required action and loss of production can be reduced.

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IJARIIE Shubham Rajkumar Wable, Saurabh Sanjay Shitole, Rohit Rajendra Sarde, Akshay Jitendra Thorat, and Prof. Minal Zope. "Classification and Identification of Multiple Leaf Diseases Using Inception-ResNet V2 (CNN Architecture)" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 2 2022 Page 1791-1796
MLA Shubham Rajkumar Wable, Saurabh Sanjay Shitole, Rohit Rajendra Sarde, Akshay Jitendra Thorat, and Prof. Minal Zope. "Classification and Identification of Multiple Leaf Diseases Using Inception-ResNet V2 (CNN Architecture)." International Journal Of Advance Research And Innovative Ideas In Education 8.2(2022) : 1791-1796.
APA Shubham Rajkumar Wable, Saurabh Sanjay Shitole, Rohit Rajendra Sarde, Akshay Jitendra Thorat, & Prof. Minal Zope. (2022). Classification and Identification of Multiple Leaf Diseases Using Inception-ResNet V2 (CNN Architecture). International Journal Of Advance Research And Innovative Ideas In Education, 8(2), 1791-1796.
Chicago Shubham Rajkumar Wable, Saurabh Sanjay Shitole, Rohit Rajendra Sarde, Akshay Jitendra Thorat, and Prof. Minal Zope. "Classification and Identification of Multiple Leaf Diseases Using Inception-ResNet V2 (CNN Architecture)." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 2 (2022) : 1791-1796.
Oxford Shubham Rajkumar Wable, Saurabh Sanjay Shitole, Rohit Rajendra Sarde, Akshay Jitendra Thorat, and Prof. Minal Zope. 'Classification and Identification of Multiple Leaf Diseases Using Inception-ResNet V2 (CNN Architecture)', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 2, 2022, p. 1791-1796. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Classification_and_Identification_of_Multiple_Leaf_Diseases_Using_Inception_ResNet_V2____CNN_Architecture__ijariie16467.pdf (Accessed : 02 May 2022).
Harvard Shubham Rajkumar Wable, Saurabh Sanjay Shitole, Rohit Rajendra Sarde, Akshay Jitendra Thorat, and Prof. Minal Zope. (2022) 'Classification and Identification of Multiple Leaf Diseases Using Inception-ResNet V2 (CNN Architecture)', International Journal Of Advance Research And Innovative Ideas In Education, 8(2), pp. 1791-1796IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Classification_and_Identification_of_Multiple_Leaf_Diseases_Using_Inception_ResNet_V2____CNN_Architecture__ijariie16467.pdf (Accessed : 02 May 2022)
IEEE Shubham Rajkumar Wable, Saurabh Sanjay Shitole, Rohit Rajendra Sarde, Akshay Jitendra Thorat, and Prof. Minal Zope, "Classification and Identification of Multiple Leaf Diseases Using Inception-ResNet V2 (CNN Architecture)," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 2, pp. 1791-1796, Mar-App 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Classification_and_Identification_of_Multiple_Leaf_Diseases_Using_Inception_ResNet_V2____CNN_Architecture__ijariie16467.pdf [Accessed : 02 May 2022].
Turabian Shubham Rajkumar Wable, Saurabh Sanjay Shitole, Rohit Rajendra Sarde, Akshay Jitendra Thorat, and Prof. Minal Zope. "Classification and Identification of Multiple Leaf Diseases Using Inception-ResNet V2 (CNN Architecture)." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 2 (02 May 2022).
Vancouver Shubham Rajkumar Wable, Saurabh Sanjay Shitole, Rohit Rajendra Sarde, Akshay Jitendra Thorat, and Prof. Minal Zope. Classification and Identification of Multiple Leaf Diseases Using Inception-ResNet V2 (CNN Architecture). International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : 02 May 2022]; 8(2) : 1791-1796. Available from: https://ijariie.com/AdminUploadPdf/Classification_and_Identification_of_Multiple_Leaf_Diseases_Using_Inception_ResNet_V2____CNN_Architecture__ijariie16467.pdf
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