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Call for Papers:Vol.12 Issue.3

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Title: :  Tomato Plant Disease Detection and Diagnosis using CNN
PaperId: :  22159
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 6 2023
DUI:    16.0415/IJARIIE-22159
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Rasika Ravindra PatilSharad Institute of Technology College of Engineering
Radhika Sukumar PatilSharad Institute of Technology College of Engineering
Radha Ganesh Bugad Sharad Institute of Technology College of Engineering
Vaishnavi Maruti JadhavSharad Institute of Technology College of Engineering

Abstract

Computer Science and Engineering
Convolutional Neural Network, Deep Learning, Leaf Disease Detection
The tomato crop is an important staple in the Indian market with high commercial value and is produced in large quantities. Diseases are detrimental to the plant’s health which in turn affects its growth. To ensure minimal losses to the cultivated crop, it is crucial to supervise its growth. There are numerous types of tomato diseases that target the crop’s leaf at an alarming rate. This paper adopts the convolution neural network model to detect and identify diseases in tomato leaves. The main aim of the proposed work is to find a solution to the problem of tomato leaf disease detection using the simplest approach while making use of minimal computing resources to achieve results comparable to state of the art techniques. Neural network models employ automatic feature extraction to aid in the classification of the input image into respective disease classes. This proposed system has achieved an average accuracy of 96-97% indicating the feasibility of the neural network approach even under unfavorable conditions.

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IJARIIE Rasika Ravindra Patil, Radhika Sukumar Patil, Radha Ganesh Bugad , and Vaishnavi Maruti Jadhav. "Tomato Plant Disease Detection and Diagnosis using CNN" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 6 2023 Page 1440-1447
MLA Rasika Ravindra Patil, Radhika Sukumar Patil, Radha Ganesh Bugad , and Vaishnavi Maruti Jadhav. "Tomato Plant Disease Detection and Diagnosis using CNN." International Journal Of Advance Research And Innovative Ideas In Education 9.6(2023) : 1440-1447.
APA Rasika Ravindra Patil, Radhika Sukumar Patil, Radha Ganesh Bugad , & Vaishnavi Maruti Jadhav. (2023). Tomato Plant Disease Detection and Diagnosis using CNN. International Journal Of Advance Research And Innovative Ideas In Education, 9(6), 1440-1447.
Chicago Rasika Ravindra Patil, Radhika Sukumar Patil, Radha Ganesh Bugad , and Vaishnavi Maruti Jadhav. "Tomato Plant Disease Detection and Diagnosis using CNN." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 6 (2023) : 1440-1447.
Oxford Rasika Ravindra Patil, Radhika Sukumar Patil, Radha Ganesh Bugad , and Vaishnavi Maruti Jadhav. 'Tomato Plant Disease Detection and Diagnosis using CNN', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 6, 2023, p. 1440-1447. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Tomato_Plant_Disease_Detection_and_Diagnosis_using_CNN_ijariie22159.pdf (Accessed : ).
Harvard Rasika Ravindra Patil, Radhika Sukumar Patil, Radha Ganesh Bugad , and Vaishnavi Maruti Jadhav. (2023) 'Tomato Plant Disease Detection and Diagnosis using CNN', International Journal Of Advance Research And Innovative Ideas In Education, 9(6), pp. 1440-1447IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Tomato_Plant_Disease_Detection_and_Diagnosis_using_CNN_ijariie22159.pdf (Accessed : )
IEEE Rasika Ravindra Patil, Radhika Sukumar Patil, Radha Ganesh Bugad , and Vaishnavi Maruti Jadhav, "Tomato Plant Disease Detection and Diagnosis using CNN," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 6, pp. 1440-1447, Nov-Dec 2023. [Online]. Available: http://ijariie.com/AdminUploadPdf/Tomato_Plant_Disease_Detection_and_Diagnosis_using_CNN_ijariie22159.pdf [Accessed : ].
Turabian Rasika Ravindra Patil, Radhika Sukumar Patil, Radha Ganesh Bugad , and Vaishnavi Maruti Jadhav. "Tomato Plant Disease Detection and Diagnosis using CNN." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 6 ().
Vancouver Rasika Ravindra Patil, Radhika Sukumar Patil, Radha Ganesh Bugad , and Vaishnavi Maruti Jadhav. Tomato Plant Disease Detection and Diagnosis using CNN. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(6) : 1440-1447. Available from: http://ijariie.com/AdminUploadPdf/Tomato_Plant_Disease_Detection_and_Diagnosis_using_CNN_ijariie22159.pdf
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