Conference Paper
Khose, S., & Mailapalli, D. (2023). Estimation of Crop Coefficient for Rice using Crop Height and Machine Learning Algorithms. 25th International Congress of ICID, 1st - 8th November 2023 (ID: R.65.3.11). (ISBN: 978–81–89610–35–7) (Link: https://icid-ciid.org/icid_data_web/25th_Cong_AbstractVolume.pdf).
Mailapalli, M., Khose, S. B., Dubey, S., Mailapalli, D. R., Chatterjee, C. & Raghuwanshi, N. S. (2023). Prediction of Pest Infestation in Tea Leaves using Machine Learning Models. International Conference on Systems and Technologies for Smart Agriculture (ICSTA 2023), 19-20 December 2023 (ID: 98). (Best Poster Presentation, 2nd Prize).
Kumar, S. B., Khose, S. B., Upadhyay, R., & Mishra, A. (2025, May). Comparative Analysis of DSSAT and APSIM Crop Models for Wheat Yield Prediction in Chhattisgarh State of India. In International Conference on Agriculture-Centric Computation (pp. 202-211). Cham: Springer Nature Switzerland.
Vasantarao, R. P., Khose, S. B., Tateh, S., Rathaur, R., Mailapalli, D. R., Chatterjee, C., & Raghuwanshi, N. S. (2025). Development of web-based application (CropXmapper) for detecting and mapping biotic and abiotic stress in tea. In Digital Transformation for Growth: Empowering Agro-Rural Economies Towards Sustainable Viksit Bharat @2047. Indian Institute of Technology Kharagpur, Kharagpur, India.