Kanhu Charan Panda

Validation of Analytical Procedures- A Review

D. Venkata Ramana, Muvvala Sudhakar, Chinmaya Keshari Sahoo, 2018 .

Impact of Soil Moisture Stress on Rice Productivity in Warming Climate over Indian Mid-Indo-Gangetic Plain

Kanhu Charan Panda, V. Meena, Ashish Kumar, 2021, Climate Change and Environmental Sustainability.

Novel Genetic Algorithm (GA) based hybrid machine learning-pedotransfer Function (ML-PTF) for prediction of spatial pattern of saturated hydraulic conductivity

Dinesh Kr. Vishwakarma, Kanhu Charan Panda, Vijay K. Singh, 2022, Engineering Applications of Computational Fluid Mechanics.

Prediction of Climate Change Using Statistical Downscaling Techniques

Kanhu Charan Panda, K. Panda, Souranshu Prasad Sahoo, 2020 .

Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique

Kanhu Charan Panda, K. A. Chobhe, T. Khura, 2024, Scientific reports.

Sources of ions in the river ecosystem

Kanhu Charan Panda, Ravendra Singh, A. Rakshit, 2022, Ecological Significance of River Ecosystems.

Daily suspended sediment yield estimation using soft-computing algorithms for hilly watersheds in a data-scarce situation: a case study of Bino watershed, Uttarakhand

Kanhu Charan Panda, Q. Pham, N. L. Kushwaha, 2024, Theoretical and Applied Climatology.

Impact of climate change induced future rainfall variation on dynamics of arid-humid zone transition in the western province of India.

Kanhu Charan Panda, Vijay K. Singh, Ravendra Singh, 2022, Journal of environmental management.

A Novel Hybrid Algorithms for Groundwater Level Prediction

Dinesh Kr. Vishwakarma, Kanhu Charan Panda, Shreya Nivesh, 2023, Iranian Journal of Science and Technology, Transactions of Civil Engineering.

Assessment of spatiotemporal variability of rainfall and surface wind speed over the eastern coastal agro-ecological zones of India using advanced trend detection approaches

Kanhu Charan Panda, K. Panda, Jitendra Rajput, 2023, Theoretical and Applied Climatology.