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Call for Papers:Vol.11 Issue.3

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Title: :  Tomato Leaf Diseases Identification using CNN
PaperId: :  17300
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-17300
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Dhulipalla SrijaVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
DEVARAKONDA AKSHAYAVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY
BALATHOTI ANUPRIYAVASIREDDY VENKATADRI INSTITUTE OF TECHNOLOGY

Abstract

INFORMATION TECHNOLOGY
Deep Learning, Tomato Leaves, Disease, Detection
Crop diseases are key danger to food security. The speedy identification of the diseases are still difficult in many proportions of the world. This is because of lack of proper infrastructure. Now a days smart phone usage is increased and computer vision technology is also increased. Because of this smartphone assisted disease identification is possible using Deep Learning. we are developing web application to identify the disease of leaf using CNN. Public dataset contains 10000 images contains both infected and healthy tomato leaves. They are collected under controlled conditions. In the proposed method deep learning is used to detect the disease of the leaves. A deep convolutional neural network model is trained to identify these diseases. In this we have used inception v3 model. The trained achieved 88.34% accuracy on the test dataset. This method is more feasible to detect the diseases in tomato leaves.

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IJARIIE Dhulipalla Srija, DEVARAKONDA AKSHAYA, and BALATHOTI ANUPRIYA. "Tomato Leaf Diseases Identification using CNN" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 4232-4238
MLA Dhulipalla Srija, DEVARAKONDA AKSHAYA, and BALATHOTI ANUPRIYA. "Tomato Leaf Diseases Identification using CNN." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 4232-4238.
APA Dhulipalla Srija, DEVARAKONDA AKSHAYA, & BALATHOTI ANUPRIYA. (2022). Tomato Leaf Diseases Identification using CNN. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 4232-4238.
Chicago Dhulipalla Srija, DEVARAKONDA AKSHAYA, and BALATHOTI ANUPRIYA. "Tomato Leaf Diseases Identification using CNN." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 4232-4238.
Oxford Dhulipalla Srija, DEVARAKONDA AKSHAYA, and BALATHOTI ANUPRIYA. 'Tomato Leaf Diseases Identification using CNN', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 4232-4238. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Tomato_Leaf_Diseases_Identification_using_CNN_ijariie17300.pdf (Accessed : ).
Harvard Dhulipalla Srija, DEVARAKONDA AKSHAYA, and BALATHOTI ANUPRIYA. (2022) 'Tomato Leaf Diseases Identification using CNN', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 4232-4238IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Tomato_Leaf_Diseases_Identification_using_CNN_ijariie17300.pdf (Accessed : )
IEEE Dhulipalla Srija, DEVARAKONDA AKSHAYA, and BALATHOTI ANUPRIYA, "Tomato Leaf Diseases Identification using CNN," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 4232-4238, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Tomato_Leaf_Diseases_Identification_using_CNN_ijariie17300.pdf [Accessed : ].
Turabian Dhulipalla Srija, DEVARAKONDA AKSHAYA, and BALATHOTI ANUPRIYA. "Tomato Leaf Diseases Identification using CNN." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 ().
Vancouver Dhulipalla Srija, DEVARAKONDA AKSHAYA, and BALATHOTI ANUPRIYA. Tomato Leaf Diseases Identification using CNN. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(3) : 4232-4238. Available from: https://ijariie.com/AdminUploadPdf/Tomato_Leaf_Diseases_Identification_using_CNN_ijariie17300.pdf
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