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Title: :  Tomato leaf disease detection using cnn
PaperId: :  21151
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 4 2023
DUI:    16.0415/IJARIIE-21151
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Thejaswini k LamaniDayananda Sagar Academy of Technology and Management
Shreedhara N HDayananda Sagar Academy of Technology and Management

Abstract

Computer Engineering
Keywords—leaf, healthy, unhealthy, remedies, detection
Abstract— The detection of tomato leaf is the critical task in agriculture, as it can help to prevent crop loss and increase yields. It is the most crucial and widely utilised crops in the world, Considering the quantity and quality of the yield can be greatly impacted by leaf diseases. These diseases cannot only affect the agricultural industry, but also human health and financials. One of the major challenges in managing leaf diseases is detecting infected plants in the early stages, as diseases can spread rapidly and infest entire farms if left untreated. These systems typically involve capturing images of tomato leaves, pre-processing the images to enhance visual features, and using machine learning techniques to develop illness detection models. CNN is one of the most well-known and effective image classificationtechniques, and it has been effectively used to address a number of tomato disease- related issues including object identification, image classification, and semantic segmentation. The suggested technique makes use of image processing methods and a machine learning classifier, specifically a CNN, to diagnose the disease. The results show good accuracy in disease identification using the suggested approach, which uses a dataset of tomato leaf pictures to test performance. The proposed method can be a useful early detection tool and management of tomato leaf diseases, potentially leading to increased crop yields and reduced use of pesticides. The study also aims to implement a CNN specifically for the application of plant disease detection in tomato leaves.

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IJARIIE Thejaswini k Lamani, and Shreedhara N H. "Tomato leaf disease detection using cnn" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 4 2023 Page 1027-1036
MLA Thejaswini k Lamani, and Shreedhara N H. "Tomato leaf disease detection using cnn." International Journal Of Advance Research And Innovative Ideas In Education 9.4(2023) : 1027-1036.
APA Thejaswini k Lamani, & Shreedhara N H. (2023). Tomato leaf disease detection using cnn. International Journal Of Advance Research And Innovative Ideas In Education, 9(4), 1027-1036.
Chicago Thejaswini k Lamani, and Shreedhara N H. "Tomato leaf disease detection using cnn." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 4 (2023) : 1027-1036.
Oxford Thejaswini k Lamani, and Shreedhara N H. 'Tomato leaf disease detection using cnn', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, 2023, p. 1027-1036. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Tomato_leaf_disease_detection_using_cnn_ijariie21151.pdf (Accessed : 14 April 2024).
Harvard Thejaswini k Lamani, and Shreedhara N H. (2023) 'Tomato leaf disease detection using cnn', International Journal Of Advance Research And Innovative Ideas In Education, 9(4), pp. 1027-1036IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Tomato_leaf_disease_detection_using_cnn_ijariie21151.pdf (Accessed : 14 April 2024)
IEEE Thejaswini k Lamani, and Shreedhara N H, "Tomato leaf disease detection using cnn," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, pp. 1027-1036, Jul-Aug 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Tomato_leaf_disease_detection_using_cnn_ijariie21151.pdf [Accessed : 14 April 2024].
Turabian Thejaswini k Lamani, and Shreedhara N H. "Tomato leaf disease detection using cnn." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 4 (14 April 2024).
Vancouver Thejaswini k Lamani, and Shreedhara N H. Tomato leaf disease detection using cnn. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 14 April 2024]; 9(4) : 1027-1036. Available from: https://ijariie.com/AdminUploadPdf/Tomato_leaf_disease_detection_using_cnn_ijariie21151.pdf
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