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Original Article
A Deep Learning Framework for Papaya Crop Health Identification
Nisha Sahu1
Dr. Gargishankar Verma2
1 M. Tech, Department of Computer Science Engineering, Krishna’s Vikash Institute of Technology, Raipur, Chhattisgarh, India. 2 Professor, Department of CSE, Krishna’s Vikash Institute of Technology, Raipur, Chhattisgarh, India.
Published Online: January-April 2026
Pages: 421-425
Cite this article
No DOIReferences
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approach using deep features and PCA-enhanced machine learning," Journal of Intelligent Systems, vol. 34, 2025, Art. no. 20240523.
https://doi.org/10.1515/jisys-2024-0523
2. H. Nishad, A. Sharma, G. K. P, M. Prajapati, and M. D. Hamza, "Proposed Image-Based Papaya Health Classification Using Machine
Learning," International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), vol.
11, no. 3, pp. 498-504, May-June 2025. Available: https://doi.org/10.32628/CSEIT25113110
3. S. S. Shetty, S. Shetty, S. B. Shetty, Y. N. Pai, and S. T. K, "Papaya Disease Classification Using Machine Learning," Intern ational Journal
of Advanced Research in Computer and Communication Engineering (IJARCCE), vol. 13, no. 3, pp. 520-525, March 2024. Available:
https://doi.org/10.17148/IJARCCE.2024.13384
4. V. Chacko, "Image Classification for Papaya Disease Detection Using Deep Learning," International Journal of Innovative Research in
Technology (IJIRT), vol. 11, no. 4, pp. 611-615, Sept. 2024. Available: https://ijirt.org/article?manuscript=167880
5. M. Parmar and S. Degadwala, "Deep Learning for Accurate Papaya Disease Identification Using Vision Transformers," International Journal
of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), vol. 10, no. 2, pp. 420-426, Mar.-Apr.2024. Available: https://doi.org/10.32628/CSEIT2410235
6. M. Parmar and S. Degadwala, "A Comprehensive Review on Deep Learning for Accurate Papaya Disease Identification," International
Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), vol. 9, no. 10, pp. 276-282,
Sept.-Oct. 2023. Available: https://doi.org/10.32628/CSEIT2361047
7. J. L. de Moraes, J. de Oliveira Neto, C. Badue, T. Oliveira-Santos, and A. F. de Souza, "Yolo-Papaya: A Papaya Fruit Disease Detector and
Classifier Using CNNs and Convolutional Block Attention Modules," Electronics (Switzerland), vol. 12, no. 10, 2023.
8. M. S. Hossen et al., "Deep Learning Based Classification of Papaya Disease Recognition," in Proc. 3rd Int. Conf. Intell. Sustain. Syst.
(ICISS), 2020, pp. 1-6.
9. N. Bais and N. Rawat, "Image-Based Papaya Fruit Health Classification Using Machine Learning," Int. J. Res. Appl. Sci. Eng. Technol.
(IJRASET), vol. 13, no. 5, pp. 3874-3882, May 2025.
10. M. T. Habib et al., "Machine vision based papaya disease recognition," J. King Saud Univ. - Comput. Inf. Sci., vol. 32, no. 3, pp. 300-309,
2020.
11. L. Goel and J. Nagpal, "A Systematic Review of Recent Machine Learning Techniques for Plant Disease Identification and Classification,"
IETE Tech. Rev., vol. 40, no. 3, pp. 423-439, 2023.
12. M. V. N. Godapitiya and T. K. N. Mandira, "A Deep Learning Approach for Papaya Disease, Pest and Maturity Identification via Mobile
Imaging," in Proc. 7th Int. Conf. Adv. Comput. (ICAC), 2025, pp. 1-6.
13. P. Kumaran et al., "Anthracnose Disease Detection in Papaya Fruit Using Machine Learning Techniques," in Proc. 5th Int. Conf. Innov.
Trends Inf. Technol. (ICITIIT), 2024, pp. 1-6.
14. K. Harika and M. N. Nachappa, "A Study on Deep Learning Methods to Identify the Infected Regions from Papaya Fruit Images," i n Proc.
Int. Conf. Ambient Intell. Knowl. Inform. Ind. Electron. (AIKIIE), 2023, pp. 1-6.
15. M. S. Hossen et al., "Deep Learning Based Classification of Papaya Disease Recognition," in Proc. 3rd Int. Conf. Intell. Sustain. Syst.
(ICISS), 2020, pp. 1353-1360.
16. R. R. Kumar et al., "Enhancing Precision in Papaya Crop Health Management: A CNN-Based Approach for Early Disease Detection and
Classification," in Proc. IEEE Int. Conf. Inf. Technol. Electron. Intell. Commun. Syst. (ICITEICS), 2024, pp. 1-6.
17. A. Prabhu et al., "YOLO Papaya: Towards Identification of Maturity Stages of Papaya on Trees in Natural Environment," in Proc. 6th Int.
Conf. Emerg. Technol. (INCET), 2025, pp. 1-6.
18. "Deep Learning for Papaya Leaf Disease Detection and Pesticide Spraying," Int. J. Creat. Res. Thoughts (IJCRT), vol. 13, no. 5, May 2025
approach using deep features and PCA-enhanced machine learning," Journal of Intelligent Systems, vol. 34, 2025, Art. no. 20240523.
https://doi.org/10.1515/jisys-2024-0523
2. H. Nishad, A. Sharma, G. K. P, M. Prajapati, and M. D. Hamza, "Proposed Image-Based Papaya Health Classification Using Machine
Learning," International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), vol.
11, no. 3, pp. 498-504, May-June 2025. Available: https://doi.org/10.32628/CSEIT25113110
3. S. S. Shetty, S. Shetty, S. B. Shetty, Y. N. Pai, and S. T. K, "Papaya Disease Classification Using Machine Learning," Intern ational Journal
of Advanced Research in Computer and Communication Engineering (IJARCCE), vol. 13, no. 3, pp. 520-525, March 2024. Available:
https://doi.org/10.17148/IJARCCE.2024.13384
4. V. Chacko, "Image Classification for Papaya Disease Detection Using Deep Learning," International Journal of Innovative Research in
Technology (IJIRT), vol. 11, no. 4, pp. 611-615, Sept. 2024. Available: https://ijirt.org/article?manuscript=167880
5. M. Parmar and S. Degadwala, "Deep Learning for Accurate Papaya Disease Identification Using Vision Transformers," International Journal
of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), vol. 10, no. 2, pp. 420-426, Mar.-Apr.2024. Available: https://doi.org/10.32628/CSEIT2410235
6. M. Parmar and S. Degadwala, "A Comprehensive Review on Deep Learning for Accurate Papaya Disease Identification," International
Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), vol. 9, no. 10, pp. 276-282,
Sept.-Oct. 2023. Available: https://doi.org/10.32628/CSEIT2361047
7. J. L. de Moraes, J. de Oliveira Neto, C. Badue, T. Oliveira-Santos, and A. F. de Souza, "Yolo-Papaya: A Papaya Fruit Disease Detector and
Classifier Using CNNs and Convolutional Block Attention Modules," Electronics (Switzerland), vol. 12, no. 10, 2023.
8. M. S. Hossen et al., "Deep Learning Based Classification of Papaya Disease Recognition," in Proc. 3rd Int. Conf. Intell. Sustain. Syst.
(ICISS), 2020, pp. 1-6.
9. N. Bais and N. Rawat, "Image-Based Papaya Fruit Health Classification Using Machine Learning," Int. J. Res. Appl. Sci. Eng. Technol.
(IJRASET), vol. 13, no. 5, pp. 3874-3882, May 2025.
10. M. T. Habib et al., "Machine vision based papaya disease recognition," J. King Saud Univ. - Comput. Inf. Sci., vol. 32, no. 3, pp. 300-309,
2020.
11. L. Goel and J. Nagpal, "A Systematic Review of Recent Machine Learning Techniques for Plant Disease Identification and Classification,"
IETE Tech. Rev., vol. 40, no. 3, pp. 423-439, 2023.
12. M. V. N. Godapitiya and T. K. N. Mandira, "A Deep Learning Approach for Papaya Disease, Pest and Maturity Identification via Mobile
Imaging," in Proc. 7th Int. Conf. Adv. Comput. (ICAC), 2025, pp. 1-6.
13. P. Kumaran et al., "Anthracnose Disease Detection in Papaya Fruit Using Machine Learning Techniques," in Proc. 5th Int. Conf. Innov.
Trends Inf. Technol. (ICITIIT), 2024, pp. 1-6.
14. K. Harika and M. N. Nachappa, "A Study on Deep Learning Methods to Identify the Infected Regions from Papaya Fruit Images," i n Proc.
Int. Conf. Ambient Intell. Knowl. Inform. Ind. Electron. (AIKIIE), 2023, pp. 1-6.
15. M. S. Hossen et al., "Deep Learning Based Classification of Papaya Disease Recognition," in Proc. 3rd Int. Conf. Intell. Sustain. Syst.
(ICISS), 2020, pp. 1353-1360.
16. R. R. Kumar et al., "Enhancing Precision in Papaya Crop Health Management: A CNN-Based Approach for Early Disease Detection and
Classification," in Proc. IEEE Int. Conf. Inf. Technol. Electron. Intell. Commun. Syst. (ICITEICS), 2024, pp. 1-6.
17. A. Prabhu et al., "YOLO Papaya: Towards Identification of Maturity Stages of Papaya on Trees in Natural Environment," in Proc. 6th Int.
Conf. Emerg. Technol. (INCET), 2025, pp. 1-6.
18. "Deep Learning for Papaya Leaf Disease Detection and Pesticide Spraying," Int. J. Creat. Res. Thoughts (IJCRT), vol. 13, no. 5, May 2025
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