A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives P Goyal, S Kumar, R Sharda Computers and Electronics in Agriculture 209, 107836, 2023 | 27 | 2023 |
A Multi-Factor Analysis Linking Environmental Stressors with Presence of Per-and Polyfluoroalkyl Substances (PFAS) in a Coastal Lagoon SE Santiago Borrés, S Kumar, JC Bonzongo, KY Deliz Quiñones, A Jutla ACS ES&T Water 4 (8), 3464-3474, 2024 | 1 | 2024 |
Reference Evapotranspiration Modelling Using Artificial Neural Networks Under Scenarios of Limited Weather Data: A Case Study in the Malwa Region of Punjab S Kumar, R Sharda, P Goyal, M Siag, P Kaur Environmental Modeling & Assessment, 32, 2023 | 1 | 2023 |
AI approaches for estimation of reference evapotranspiration-A review S Kumar, P Goyal, R Sharda VIRTUAL NATIONAL CONFERENCE on STRATEGIC REORIENTATION FOR CLIMATE SMART …, 2021 | 1 | 2021 |
Land Use and Land Cover Changes as a Major Driver of Flooding: A Case Study of Northern India S Kumar, K Singh, M Usmani, C Singla, S Kaur, AS Jutla AGU Fall Meeting Abstracts 2023 (4), H21AA-04, 2023 | | 2023 |
Assessing PFAS Presence in the Indian River Lagoon: A Bayesian Approach to Understanding the Impact of Environmental Stressors S Kumar, S Borrés, KD Quinones, AS Jutla AGU24, 0 | | |