Endre Harsányi
Biographic Data
| ID | 7715705 |
|---|---|
| NAME | Endre Harsányi |
| GIVEN NAMES | Endre |
| FAMILY NAME | Harsányi |
| SIGNATURE | HARSÁNYI E |
| AFFILIATIONS | University of Debrecen |
| ORCID | 0000-0002-8931-4297 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Predicting Modified Fournier Index by Using Artificial Neural Network in Central Europe
The Modified Fournier Index ( MFI ) is one of the indices that can assess the erosivity of rainfall. However, the implementation of the artificial neural network (ANN) for the prediction of the MFI is still rare. In this research, climate data (monthly and yearly precipitation ( p i , P total ) (mm), daily maximum precipitation ( P d-max ) (mm), monthly mean temperature ( T avg ) (°C), daily maximum mean temperature ( T d-max ) (°C), and daily mi…
Meteorological Drought Variability and Its Impact on Wheat Yields across South Africa
Drought is one of the natural hazards that have negatively affected the agricultural sector worldwide. The aims of this study were to track drought characteristics (duration (DD), severity (DS), and frequency (DF)) in South Africa between 2002 and 2021 and to evaluate its impact on wheat production. Climate data were collected from the South African Weather Service (SAWS) along with wheat yield data from the Department of Agriculture, Forestry an…
No prominent works on this page.
Predicting Modified Fournier Index by Using Artificial Neural Network in Central Europe
The Modified Fournier Index ( MFI ) is one of the indices that can assess the erosivity of rainfall. However, the implementation of the artificial neural network (ANN) for the prediction of the MFI is still rare. In this research, climate data (monthly and yearly precipitation ( p i , P total ) (mm), daily maximum precipitation ( P d-max ) (mm), monthly mean temperature ( T avg ) (°C), daily maximum mean temperature ( T d-max ) (°C), and daily mi…
Meteorological Drought Variability and Its Impact on Wheat Yields across South Africa
Drought is one of the natural hazards that have negatively affected the agricultural sector worldwide. The aims of this study were to track drought characteristics (duration (DD), severity (DS), and frequency (DF)) in South Africa between 2002 and 2021 and to evaluate its impact on wheat production. Climate data were collected from the South African Weather Service (SAWS) along with wheat yield data from the Department of Agriculture, Forestry an…
Climate variability and models (2 works) · Environmental Science (2 works) · Hydrology and Drought Analysis (2 works) · Meteorology (2 works) · Precipitation (2 works) · Agricultural productivity (1 work) · Agriculture (1 work) · Agronomy (1 work) · Analytical Chemistry (journal (1 work) · Artificial neural network (1 work)