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Title: :  A Deep Learning Approach For Plant Leaf Disease Detection Using VGG16
PaperId: :  26392
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 2 2025
DUI:    16.0415/IJARIIE-26392
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
A.GeethanjaliSri Venkatesa Perumal College of Engineering and Technology
C.ManikantaSri Venkatesa Perumal College of Engineering and Technology
A.RihanaSri Venkatesa Perumal College of Engineering and Technology
E.ChanduSri Venkatesa Perumal College of Engineering and Technology
E.Hanumantha ReddySri Venkatesa Perumal College of Engineering and Technology
A.DurvasuluSri Venkatesa Perumal College of Engineering and Technology

Abstract

Electronics and Communication Engineering
Plant leaf diseases, Deep Neural Networks, Image Classifications ,Pre processing, Feature Selection , Transfer Learning , Precision
Plant leaf diseases present a serious threat to global food security, as they reduce both the quality and quantity of agricultural output. Consequently, identifying such diseases promptly and accurately is crucial to preventing crop damage and addressing the rising food demands. Traditional methods often rely on laboratory tests and expert analysis, which can be expensive and not readily available to all farmers. In contrast, modern Deep Neural Networks have shown great promise in image-based classification tasks. This study introduces an automated system for detecting plant diseases, which includes several stages such as image pre-processing, disease classification, feature extraction, and selection. The classification process is enhanced through the application of transfer learning using pre-trained models like VGG16, which improves efficiency and reduces the need for extensive training.

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IJARIIE A.Geethanjali, C.Manikanta, A.Rihana, E.Chandu, E.Hanumantha Reddy, and A.Durvasulu. "A Deep Learning Approach For Plant Leaf Disease Detection Using VGG16" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 2 2025 Page 3106-3111
MLA A.Geethanjali, C.Manikanta, A.Rihana, E.Chandu, E.Hanumantha Reddy, and A.Durvasulu. "A Deep Learning Approach For Plant Leaf Disease Detection Using VGG16." International Journal Of Advance Research And Innovative Ideas In Education 11.2(2025) : 3106-3111.
APA A.Geethanjali, C.Manikanta, A.Rihana, E.Chandu, E.Hanumantha Reddy, & A.Durvasulu. (2025). A Deep Learning Approach For Plant Leaf Disease Detection Using VGG16. International Journal Of Advance Research And Innovative Ideas In Education, 11(2), 3106-3111.
Chicago A.Geethanjali, C.Manikanta, A.Rihana, E.Chandu, E.Hanumantha Reddy, and A.Durvasulu. "A Deep Learning Approach For Plant Leaf Disease Detection Using VGG16." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 2 (2025) : 3106-3111.
Oxford A.Geethanjali, C.Manikanta, A.Rihana, E.Chandu, E.Hanumantha Reddy, and A.Durvasulu. 'A Deep Learning Approach For Plant Leaf Disease Detection Using VGG16', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, 2025, p. 3106-3111. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/A_Deep_Learning_Approach_For_Plant_Leaf_Disease_Detection_Using_VGG16_ijariie26392.pdf (Accessed : ).
Harvard A.Geethanjali, C.Manikanta, A.Rihana, E.Chandu, E.Hanumantha Reddy, and A.Durvasulu. (2025) 'A Deep Learning Approach For Plant Leaf Disease Detection Using VGG16', International Journal Of Advance Research And Innovative Ideas In Education, 11(2), pp. 3106-3111IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/A_Deep_Learning_Approach_For_Plant_Leaf_Disease_Detection_Using_VGG16_ijariie26392.pdf (Accessed : )
IEEE A.Geethanjali, C.Manikanta, A.Rihana, E.Chandu, E.Hanumantha Reddy, and A.Durvasulu, "A Deep Learning Approach For Plant Leaf Disease Detection Using VGG16," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, pp. 3106-3111, Mar-App 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/A_Deep_Learning_Approach_For_Plant_Leaf_Disease_Detection_Using_VGG16_ijariie26392.pdf [Accessed : ].
Turabian A.Geethanjali, C.Manikanta, A.Rihana, E.Chandu, E.Hanumantha Reddy, and A.Durvasulu. "A Deep Learning Approach For Plant Leaf Disease Detection Using VGG16." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 2 ().
Vancouver A.Geethanjali, C.Manikanta, A.Rihana, E.Chandu, E.Hanumantha Reddy, and A.Durvasulu. A Deep Learning Approach For Plant Leaf Disease Detection Using VGG16. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(2) : 3106-3111. Available from: https://ijariie.com/AdminUploadPdf/A_Deep_Learning_Approach_For_Plant_Leaf_Disease_Detection_Using_VGG16_ijariie26392.pdf
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