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2. Kiran, P. R., Aradwad, P., Arunkumar, T. V., &Parray, R. A. (2024). Enhancing mango quality control: A novel approach to spongy tissue inspection through image clustering and machine learning models via X‐ray imaging. Journal of Food Process Engineering, 47(6), e14664.
3. Kiran, P. R., Jadhav, P., Avinash, G., Aradwad, P., TV, A., Bhardwaj, R., &Parray, R. A. (2024). Detection and classification of spongy tissue disorder in mango fruit during ripening by using visible-near infrared spectroscopy and multivariate analysis. Journal of Near Infrared Spectroscopy, 32(4-5), 140-151.
4. Kiran, P. R., Avinash, G., Ray, M., Nigam, S., &Parray, R. A. (2024). Deep learning models for detection and classification of spongy tissue disorder in mango using X-ray images. Journal of Food Measurement and Characterization, 18(9), 7806-7818.
5. Kiran, P. R., Yeasin, M., Aradwad, P., Arunkumar, T. V., &Parray, R. A. (2024). Advancing mango quality assurance: Non‐destructive detection of spongy tissue using visible near‐infrared spectroscopy and machine learning classification. Future Postharvest and Food, 1(2), 237-251.
6. Kiran, P. R., Aradwad, P., TV, A. K., Nayana N, P., CS, R., Sahoo, M., … & Mani, I. (2024). A comprehensive review on recent advances in postharvest treatment, storage, and quality evaluation of onion (Allium cepa): Current status, and challenges. Future Postharvest and Food, 1(1), 124-157.

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