E-LIB Suche - Ergebnisse für: Zand-Parsa, Shahrokh

1

Improving prediction accuracy of CSM-CERES-Wheat model for ..:

Ghasemi-Saadatabadi, Fatemeh ; Zand-Parsa, Shahrokh ; Gheysari, Mahdi...
Field Crops Research. 312 (2024) - p. 109381 , 2024

Link: https://doi.org/10.1016/..

2

Developing machine learning models for wheat yield predicti..:

Naghdyzadegan Jahromi, Mojtaba ; Zand-Parsa, Shahrokh ; Razzaghi, Fatemeh...
European Journal of Agronomy. 146 (2023) - p. 126820 , 2023

Link: https://doi.org/10.1016/..

3

Development of a simulation model for sugar beet growth und..:

Kamali, Hamid Reza ; Zand-Parsa, Shahrokh ; Zare, Masoumeh..
Irrigation Science. 40 (2022) 3 - p. 337-358 , 2022

Link: https://doi.org/10.1007/..

4

Influence of Climatic Variability on Detected Drought Spati..:

Dehghani, Fatemeh ; Khalili, Davar ; Zand-Parsa, Shahrokh.
Iranian Journal of Science and Technology, Transactions of Civil Engineering. 46 (2022) 4 - p. 3369-3385 , 2022

Link: https://doi.org/10.1007/..

5

Strategies to increase barley production and water use effi..:

Naghdyzadegan Jahromi, Mojtaba ; Razzaghi, Fatemeh ; Zand-Parsa, Shahrokh
Irrigation Science. 41 (2022) 2 - p. 261-275 , 2022

Link: https://doi.org/10.1007/..

6

Ten Years of GLEAM: A Review of Scientific Advances and App..:

, In: Computational Intelligence for Water and Environmental Sciences; Studies in Computational Intelligence,

Jahromi, Mojtaba Naghdyzadegan ; Miralles, Diego ; Koppa, Akash... - p. 525-540 , 2022

Link: https://doi.org/10.1007/..

7

Enhancing Vegetation Indices from Sentinel-2 Using Multispe..:

, In: Computational Intelligence for Water and Environmental Sciences; Studies in Computational Intelligence,

Naghdyzadegan Jahromi, Mojtaba ; Zand-Parsa, Shahrokh ; Doosthosseini, Ali.. - p. 507-523 , 2022

Link: https://doi.org/10.1007/..

8

Influences of natural salinity sources and human actions on..:

Mohammadzadeh-Habili, Jahanshir ; Khalili, Davar ; Zand-Parsa, Shahrokh...
Environmental Monitoring and Assessment. 193 (2021) 11 - p. , 2021

Link: https://doi.org/10.1007/..

9

Physiological responses of orange trees subject to regulate..:

Jamshidi, Sajad ; Zand-Parsa, Shahrokh ; Niyogi, Dev
Irrigation Science. 39 (2021) 4 - p. 441-455 , 2021

Link: https://doi.org/10.1007/..

10

Spatio-temporal variability of extreme precipitation charac..:

Hashempour Motlagh Shirazi, Sara ; Khalili, Davar ; Zand-Parsa, Shahrokh.
Environment, Development and Sustainability. 24 (2021) 9 - p. 11348-11368 , 2021

Link: https://doi.org/10.1007/..

11

Evapotranspiration, crop coefficients, and physiological re..:

Jamshidi, Sajad ; Zand-Parsa, Shahrokh ; Kamgar-Haghighi, Ali Akbar..
Agricultural Water Management. 227 (2020) - p. 105838 , 2020

Link: https://doi.org/10.1016/..

12

Predicting the seedling emergence time of sugar beet (Beta ..:

Rimaz, Hamid Reza ; Zand-Parsa, Shahrokh ; Taghvaei, Mansour.
Physiology and Molecular Biology of Plants. 26 (2020) 12 - p. 2329-2338 , 2020

Link: https://doi.org/10.1007/..

13

Assessing Crop Water Stress Index of Citrus Using In-Situ M..:

Jamshidi, Sajad ; Zand-Parsa, Shahrokh ; Niyogi, Dev
International Journal of Remote Sensing. 42 (2020) 5 - p. 1893-1916 , 2020

Link: https://doi.org/10.1080/..

14

Time and amount of supplemental irrigation at different dis..:

Abdolahipour, Mohammad ; Kamgar-Haghighi, Ali Akbar ; Sepaskhah, Ali Reza...
Scientia Horticulturae. 253 (2019) - p. 241-254 , 2019

Link: https://doi.org/10.1016/..

15

Application of A Simple Landsat-MODIS Fusion Model to Estim..:

Jamshidi, Sajad ; Zand-Parsa, Shahrokh ; Naghdyzadegan Jahromi, Mojtaba.
Remote Sensing. 11 (2019) 7 - p. 741 , 2019

Link: https://doi.org/10.3390/..