| Innovative trend analysis of spatio-temporal variations of rainfall in India during 1901–2019 RN Singh, S Sah, B Das, S Potekar, A Chaudhary, H Pathak Theoretical and Applied Climatology 145 (1-2), 821-838, 2021 | 78 | 2021 |
| Spatio-temporal trends and variability of rainfall in Maharashtra, India: Analysis of 118 years RN Singh, S Sah, B Das, L Vishnoi, H Pathak Theoretical and Applied Climatology 143, 883-900, 2021 | 57 | 2021 |
| Trends, variability, and teleconnections of long-term rainfall in the Terai region of India S Sah, RN Singh, G Chaturvedi, B Das Theoretical and Applied Climatology 143, 291-307, 2021 | 17 | 2021 |
| Discrimination and monitoring of rice cultural types using dense time series of Sentinel-1 SAR data S Sah, D Haldar, S Chandra, AS Nain Ecological Informatics 76, 102136, 2023 | 11 | 2023 |
| Combining biophysical parameters with thermal and RGB indices using machine learning models for predicting yield in yellow rust affected wheat crop RN Singh, P Krishnan, VK Singh, S Sah, B Das Scientific Reports 13 (1), 18814, 2023 | 7 | 2023 |
| Long-term spatiotemporal trends of temperature associated with sugarcane in west India RN Singh, S Sah, B Das, G Chaturvedi, M Kumar, J Rane, H Pathak Arabian Journal of Geosciences 14, 1-17, 2021 | 7 | 2021 |
| Innovative trend analysis of rainfall in relation to soybean productivity over western Maharashtra RN Singh, S Sah, G Chaturvedi, B Das, H Pathak Journal of Agrometeorology 23 (2), 228-235, 2021 | 7 | 2021 |
| Impact of different dates of sowing and irrigation levels on chickpea nodulation S Sah, RN Singh, AS Nain Int J Curr Microbiol App Sci 8, 705-714, 2019 | 6 | 2019 |
| Impact of Weather Parameters on Simulated Biophysical Parameters of Chickpea S SAH, RN Singh, AS Nain Journal of Agricultural Physics 19 (1), 58-66, 2019 | 5 | 2019 |
| The 2023-24 El Niño event and its possible global consequences on food security with emphasis on India M Singh, S Sah, RN Singh Food Security 15 (6), 1431-1436, 2023 | 4 | 2023 |
| Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models S Sah, D Haldar, RN Singh, B Das, AS Nain Scientific Reports 14 (1), 21674, 2024 | 1 | 2024 |
| Optimizing chickpea yield prediction under wilt disease through synergistic integration of biophysical and image parameters using machine learning models RN Singh, P Krishnan, C Bharadwaj, S Sah, B Das Scientific Reports 15 (1), 4417, 2025 | | 2025 |
| Innovative and polygonal trend analysis of temperature in agro climatic zones of India RN Singh, S Sah, B Das, R Jaiswal, AK Singh, KS Reddy, H Pathak Scientific Reports 14 (1), 1-20, 2024 | | 2024 |
| Application of Machine Learning in Plant Disease Detection and Classification RN Singh, P Krishnan, S Sah, VK Singh Diseases of Field Crops: Diagnostics and Management, 153-167, 2024 | | 2024 |
| Crop Modelling for Climate Change Studies S Kothiyal, S Sah, A Chilwal, RN Singh Climate Change Impacts on Soil-Plant-Atmosphere Continuum, 529-555, 2024 | | 2024 |
| Rainfall Probability and Variability Analysis for Crop Planning in Scarcity Zone of Western Maharashtra S POTEKAR, S SAH, RN SINGH, H PATHAK Journal of Agricultural Physics 22 (2), 264-274, 2022 | | 2022 |
| Evaluation of CROPGRO-Pigeonpea Model in North-West India RN SINGH, S SAH Journal of Agricultural Physics 21 (2), 309-315, 2021 | | 2021 |
| Climate Change Vulnerability of Coastal Agriculture in India: A Comparison of Principal Component Analysis and Entropy-Based Methods B Das, S Sah, KV Reddy, SJ Balaji, S Desai, G Mahajan, P Singh, S Saha, ... Available at SSRN 4924759, 0 | | |
Bappa DasScientist, ICAR - Central Coastal Agricultural Research InstituteZweryfikowany adres z icar.gov.in
