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Title: :  REVIEW ON IDENTIFICATION OF LEAF DISEASE AND DIAGNOSIS
PaperId: :  19726
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 2 2023
DUI:    16.0415/IJARIIE-19726
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
snehal GhatolePriyadarshini J L College of Engineering
samiksha IngolePriyadarshini J L College of Engineering
Prof. Barkha DangePriyadarshini J L College of Engineering
Anshika ShendePriyadarshini J L College of Engineering
kalash BhujadePriyadarshini J L College of Engineering
Vaibhav SawarkarPriyadarshini J L College of Engineering

Abstract

Computer Science and Engineering
identification of the plant, trouble some of the disease, wheater condition ,survial of the crop various disease.
In India, agriculture provides a living for half of the population. Food security is significantly threatened by microbial infections; however, due to inadequate infrastructure, it is still difficult to identify them quickly. With AI, deep learning and transfer learning may be used to automatically diagnose plant illnesses from raw photos. Utilising a collection of 8,438 photos of healthy and sick leaves from the Plant Village dataset that was locally acquired, this study intends to identify and categorise grape and mango leaf illnesses. To recognise diseases or their absence, the deep convolutional neural network (CNN) is trained. AlexNet is a CNN architecture that has already been trained to automatically extract and classify features. The system, which was created using MATLAB, detects leaves accurately in 99% of cases for grape leaves and 89% of cases for mango leaves, respectively. For Android smartphones, a programme called "JIT CropFix" has been created to implement the same concept.

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IJARIIE snehal Ghatole, samiksha Ingole, Prof. Barkha Dange, Anshika Shende, kalash Bhujade, and Vaibhav Sawarkar. "REVIEW ON IDENTIFICATION OF LEAF DISEASE AND DIAGNOSIS" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 2 2023 Page 2555-2558
MLA snehal Ghatole, samiksha Ingole, Prof. Barkha Dange, Anshika Shende, kalash Bhujade, and Vaibhav Sawarkar. "REVIEW ON IDENTIFICATION OF LEAF DISEASE AND DIAGNOSIS." International Journal Of Advance Research And Innovative Ideas In Education 9.2(2023) : 2555-2558.
APA snehal Ghatole, samiksha Ingole, Prof. Barkha Dange, Anshika Shende, kalash Bhujade, & Vaibhav Sawarkar. (2023). REVIEW ON IDENTIFICATION OF LEAF DISEASE AND DIAGNOSIS. International Journal Of Advance Research And Innovative Ideas In Education, 9(2), 2555-2558.
Chicago snehal Ghatole, samiksha Ingole, Prof. Barkha Dange, Anshika Shende, kalash Bhujade, and Vaibhav Sawarkar. "REVIEW ON IDENTIFICATION OF LEAF DISEASE AND DIAGNOSIS." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 2 (2023) : 2555-2558.
Oxford snehal Ghatole, samiksha Ingole, Prof. Barkha Dange, Anshika Shende, kalash Bhujade, and Vaibhav Sawarkar. 'REVIEW ON IDENTIFICATION OF LEAF DISEASE AND DIAGNOSIS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, 2023, p. 2555-2558. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/REVIEW_ON_IDENTIFICATION_OF_LEAF_DISEASE_AND_DIAGNOSIS_ijariie19726.pdf (Accessed : ).
Harvard snehal Ghatole, samiksha Ingole, Prof. Barkha Dange, Anshika Shende, kalash Bhujade, and Vaibhav Sawarkar. (2023) 'REVIEW ON IDENTIFICATION OF LEAF DISEASE AND DIAGNOSIS', International Journal Of Advance Research And Innovative Ideas In Education, 9(2), pp. 2555-2558IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/REVIEW_ON_IDENTIFICATION_OF_LEAF_DISEASE_AND_DIAGNOSIS_ijariie19726.pdf (Accessed : )
IEEE snehal Ghatole, samiksha Ingole, Prof. Barkha Dange, Anshika Shende, kalash Bhujade, and Vaibhav Sawarkar, "REVIEW ON IDENTIFICATION OF LEAF DISEASE AND DIAGNOSIS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 2, pp. 2555-2558, Mar-App 2023. [Online]. Available: http://ijariie.com/AdminUploadPdf/REVIEW_ON_IDENTIFICATION_OF_LEAF_DISEASE_AND_DIAGNOSIS_ijariie19726.pdf [Accessed : ].
Turabian snehal Ghatole, samiksha Ingole, Prof. Barkha Dange, Anshika Shende, kalash Bhujade, and Vaibhav Sawarkar. "REVIEW ON IDENTIFICATION OF LEAF DISEASE AND DIAGNOSIS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 2 ().
Vancouver snehal Ghatole, samiksha Ingole, Prof. Barkha Dange, Anshika Shende, kalash Bhujade, and Vaibhav Sawarkar. REVIEW ON IDENTIFICATION OF LEAF DISEASE AND DIAGNOSIS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(2) : 2555-2558. Available from: http://ijariie.com/AdminUploadPdf/REVIEW_ON_IDENTIFICATION_OF_LEAF_DISEASE_AND_DIAGNOSIS_ijariie19726.pdf
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