Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

Multi-Layered classification of Plant diseases using AI approach

Authors
Medida Jayapal1, Madduru Sambasivudu2, Chiriki Usha3, *, Mantri Gayatri4, Potu Sai Manisha5
1Assistant Professor,CSEGITAM University, Hyderabad, A.P, India
2Associate Professor, CSE, MRCET, Hyderabad, A.P, India
3Assistant professor, Department of CSEDIET, Visakhapatnam, A.P, India
4Associate Professor, CSE, MRCET, Hyderabad, A.P, India
5M.Tech Student, CSE, MRCET, Hyderabad, A.P, India
*Corresponding author. Email: chusha@diet.edu.in
Corresponding Author
Chiriki Usha
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_105How to use a DOI?
Keywords
— Crop disease detection; Crop disease classification; preprocessing; convolution neural network; Deep learning
Abstract

The growth rate of an agricultural sector is related to its capacity for innovation, and vice versa. Our Analysis is focused to employ various deep learning models to create an efficient Plant Disease Detection and Classification Networks (PDDC-Net).Preprocessing is the process of standardizing dataset images by removing various forms of noise.Additionally, the PDDC-Net utilizes a ResidualNetwork-based Convolution Neural Network for efficient feature extraction and classification, ensuring accurate operation. Suggested PDDC-Net model achieved satisfactory accuracy in detecting and classifying plant leaf diseases, as evidenced by test results.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
978-94-6463-471-6
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_105How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Medida Jayapal
AU  - Madduru Sambasivudu
AU  - Chiriki Usha
AU  - Mantri Gayatri
AU  - Potu Sai Manisha
PY  - 2024
DA  - 2024/07/30
TI  - Multi-Layered classification of Plant diseases using AI approach
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 1107
EP  - 1115
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_105
DO  - 10.2991/978-94-6463-471-6_105
ID  - Jayapal2024
ER  -