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Kedar Surendranath Ghag
Kedar Surendranath Ghag
Doctoral Researcher
Adresse e-mail validée de oulu.fi - Page d'accueil
Titre
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Année
Comparative study of low-cost Evaporative Cooling Systems for storage of tomato.
MRG R.T.Jadhav, A.N.Yadav, K.S.Ghag
International Journal of Agricultural Engineering 3 (2), 199-204, 2010
92010
An overview of approaches for reducing uncertainties in hydrological forecasting: Progress and challenges
A Panchanthan, AH Ahrari, K Ghag, SMT Mustafa, AT Haghighi, B Kløve, ...
Earth-Science Reviews, 104956, 2024
82024
Smart drainage management to limit summer drought damage in Nordic agriculture under the circular economy concept
SMT Mustafa, K Ghag, A Panchanathan, B Dahal, A Ahrari, T Liedes, ...
John Wiley & Sons, 2022
42022
Effect of long-term climate signatures on regional and local potato yield in Finland
KS Ghag, A Ahrari, A Panchanathan, SMT Mustafa, T Liedes, B Klöve, ...
Smart Agricultural Technology 7, 100411, 2024
32024
Assess the Impact of Climate Variability on Potato Yield using Remote Sensing Data in Northern Finland
A Ahrari, K Ghag, S Mustafa, A Panchanathan, A Gemitzi, M Oussalah, ...
Smart Agricultural Technology, 100485, 2024
22024
Planning of conservation measures using remote sensing and geographical information system in micro-watershed
MK Manoj Kumar, P.K. Singh, Rohitashw Kumar, H.K. Mittal , K.K.Yadav, K.S. Ghag
Indian Journal of Soil Conservation 47 (1), 37-44, 2019
2*2019
Field scale assessment of controlled drainage approach with subsurface drainage system in the Northern Finland
K Ghag, A Panchanathan, SMT Mustafa, T Liedes, B Kløve, AT Haghighi
AGU24, 2024
2024
Soil moisture forecast based on gridded historical and forecast datasets
M Saboori, A Jalali Shahrood, K Ghag, B Klöve
EGU General Assembly Conference Abstracts, 16802, 2024
2024
Harnessing Soil Moisture Data for Enhanced Eco-Hydrological Modeling Precision in Snow-Dominated Catchment in Finland
A Panchanathan, K Ghag, AH Ahrari, B Klöve, M Oussalah
EGU24, 2024
2024
How Do We Design a Standard Framework for Recognizing and Reducing Uncertainty in Hydrological Forecasting?
A Panchanathan, SMT Mustafa, AH Ahrari, K Ghag, B Kløve, ...
AGU Fall Meeting Abstracts 2023, H13-01, 2023
2023
A benchmark study on remotely sensed data assimilation for water budget estimation over different hydroclimatic areas
A Gemitzi, AH Ahrari, P Brunner, B Fang, K Ghag, A Torabi Haghighi, ...
AGU Fall Meeting Abstracts 2022, H25J-1235, 2022
2022
Integrated irrigation and drainage approach to overcome summer droughts in Nordic conditions
K Ghag, A Ahrari, S Mustafa, A Panchanathan, T Liedes, B Klöve, ...
EGU General Assembly Conference Abstracts, EGU22-12413, 2022
2022
Forecasting water level in Everglades using artificial neural networks
KS Ghag
Delft: IHE Delft Institute for Water Education;, 2019
2019
Application of artificial neural network models for estimation of water levels in the Everglades, South Florida.
K Ghag, B Bhattacharya, D Solomatine, E Swain, N Aumen
Geophysical Research Abstracts 21, 2019
2019
Soil-Water Balance Assessment for Potato Crop Yield Through Different Controlled Drainage Approaches with Subsurface Drainage System in the Nordic Agriculture
K Ghag, A Panchanathan, S Mustafa, T Liedes, B Kløve, ...
Available at SSRN 4901509, 0
Cloud Computing for Hydrologic Modelling and Applications–Background, Challenges, and Opportunities
K Ghag, S Nasim, S Jahan, SMT Mustafa, A Panchanathan, B Klöve, ...
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