ARCHIVES

Research Article

Wheat Rust Disease Detection Using Convolutional Neural Network

Ch Biswaranjan Nanda1 Sudhir Kumar Mohapatra2 Rabi Narayan Satpathy3
123 Faculty of Emerging Technologies, Sri Sri University, Cuttack, Odisha, India. *Corresponding Author

Published Online: September-December 2024

Pages: 11-16

References

1. ReliefWeb, “Ethiopia battles wheat rust disease outbreak in critical wheat-growing regions,” 2016. [Online]. Available:
https://reliefweb.int/report/ethiopia/ethiopia-battles-wheat-rust-disease-outbreak-critical-wheat-growing-regions.
2. GreenLife, “Wheat Rust (1).” [Online]. Available: https://www.greenlife.co.ke/wheat-rust/.
3. S. N. Wegulo, E. P. Pathologist, and E. Byamukama, “Rust Diseases of Wheat,” 2000. [Online]. Available:
https://ohioline.osu.edu/factsheet/plpath-cer-12.
4. Kolomsa Agricultural Research Center, “No Title,” 2019.
5. Ramcharan, K. Baranowski, P. McCloskey, B. Ahmed, J. Legg, and D. P. Hughes, “Deep Learning for Image-Based Cassava Disease
Detection,” Front. Plant Sci., vol. 8, no. 2002, pp. 1–10, 2017.
6. S. P. Mohanty, D. P. Hughes, and M. Salathé, “Using Deep Learning for Image-Based Plant Disease Detection,” Front. Plant Sci., vol. 7,
2016.
7. K. P. Ferentinos, “Deep learning models for plant disease detection and diagnosis,” Comput. Electron. Agric., vol. 145, no. January, pp.
311–318, 2018.
8. E. C. Too, L. Yujian, S. Njuki, and L. Yingchun, “A comparative study of fine-tuning deep learning models for plant disease identification,”
Comput. Electron. Agric., vol. 161, no. October 2017, pp. 272–279, 2019.
9. Picon, A. Alvarez-Gila, M. Seitz, A. Ortiz-Barredo, J. Echazarra, and A. Johannes, “Deep convolutional neural networks for mobile capture
device-based crop disease classification in the wild,” Comput. Electron. Agric., vol. 161, no. October 2017, pp. 280–290, 2019.
10. Mohapatra, Sudhir Kumar, Srinivas Prasad, and Sarat Chandra Nayak. "Wheat Rust Disease Detection Using Deep Learning." Data
Science and Data Analytics: Opportunities and Challenges (2021): 191.
11. Sinshaw, Natnael Tilahun, et al. "Applications of Computer Vision on Automatic Potato Plant Disease Detection: A Systematic Literature
Review." Computational Intelligence and Neuroscience 2022 (2022).
12. Sinshaw, Natnael Tilahun, Beakal Gizachew Assefa, and Sudhir Kumar Mohapatra. "Transfer Learning and Data Augmentation Based
CNN Model for Potato Late Blight Disease Detection." 2021 International Conference on Information and Communication Technology
for Development for Africa (ICT4DA). IEEE, 2021.
13. Mohapatra, Sudhir Kumar. "Automatic Lung Tuberculosis Detection Model Using Thorax Radiography Image." Deep Learning
Applications in Medical Imaging. IGI Global, 2021. 223-242.
14. Mekonnen, Adem Assfaw, et al. "Developing Brain Tumor Detection Model Using Deep Feature Extraction via Transfer Learning."
Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science. IGI Global, 2021. 119-137.

Related Articles

2024

Revolutionizing User Interfaces: Exploring the Latest Trends in Front-End Development

2024

Website Development in Computer Science: Unveiling the Digital World

2024

Review on RSA Cryptography, Steganography and Compression Techniques for Data Security

2024

Stock Price Prediction Using LSTM

2024

Comparative Analysis of Program Execution Time Required by Python, R and Julia Compiler

2024

Online Auction App

Share Article

X
LinkedIn
Facebook
WhatsApp

Or copy link

https://test.indjcst.com/archives/10.59256/indjcst.20240303004

*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.