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Laleh Parviz
Laleh Parviz
Associate Professor, Water Resources Management
Adresse e-mail validée de azaruniv.ac.ir
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Effects of beneficial root pseudomonas on morphological, physiological, and phytochemical characteristics of Satureja hortensis (Lamiaceae) under water stress
H Mohammadi, R Dashi, M Farzaneh, L Parviz, H Hashempour
Brazilian Journal of Botany 40, 41-48, 2017
262017
Determination of effective indices in the drought monitoring through analysis of satellite images
L Parviz
Poljoprivreda i Sumarstvo 62 (1), 305, 2016
142016
Comparative evaluation of hybrid sarima and machine learning techniques based on time varying and decomposition of precipitation time series
L Parviz
Journal of Agricultural Science and Technology 22 (2), 563-578, 2020
122020
Development of precipitation forecast model based on artificial intelligence and subseasonal clustering
L Parviz, K Rasouli
Journal of Hydrologic Engineering 24 (12), 04019053, 2019
112019
A comparison of the efficiency of parameter estimation methods in the context of streamflow forecasting
L Parviz, M Kholghi, A Hoorfar
Journal of Agricultural Science and Technology 12 (1), 47-60, 2010
92010
Assessing accuracy of barley yield forecasting with integration of climate variables and support vector regression
L Parviz
Annales Universitatis Mariae Curie-Sklodowska, sectio C–Biologia 73 (1), 2018
82018
Prediction of the land use change using markov chain and cellular automata) case study: Roze Chay basin, Uremia
F Asadzadeh, L Parviz, H RAMEZANPOUR, MN Yaghmaeian
JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION 8 (1), 105-116, 2018
82018
Improving hybrid models for precipitation forecasting by combining nonlinear machine learning methods
L Parviz, K Rasouli, A Torabi Haghighi
Water Resources Management 37 (10), 3833-3855, 2023
72023
Estimation of Air Temperature Using Temperature-Vegetation Index (TVX) Method
L Parviz, M Kholghi, KH Valizadeh
WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND …, 2011
72011
Morphophysiological and biochemical response of savory medicinal plant using silicon under salt stress
H Mohammadi, S Hazrati, L Parviz
Annales Universitatis Mariae Curie-Sklodowska, sectio C–Biologia 72 (2), 29-40, 2019
52019
Forecasting annual streamflow using autoregressive integrated moving average model and fuzzy regression
L Parviz, M Kholghi, A Fakherifard
Water and Soil Science 19 (1), 65-82, 2009
52009
Performance evaluation of remote sensing data with machine learning technique to determine soil color
L Parviz
Polish Journal of Soil Science 53 (1), 97, 2020
32020
Evaluation the Preprocessing Effect of Satellite Images Input Parameters in to Artificial Neural Network for Soil Texture Determination
L PARVIZ
APPLIED SOIL RESEARCH 5 (2), 66-80, 2018
32018
Comparison of the efficiency of classical and fuzzy regression models for crop yield forecasting with climatological aspect.
L Parviz, M Paymai
Transcultural Studies 63 (1), 2017
32017
An Assessment of the Integrated Variable Infiltration Capacity and Routing Model in the Sefidroad River Basin
L Parviz, M Kholghy, P Irannejad, S Araghinejad, K Valizadeh
Water and Soil 25 (3), 2011
32011
Evaluation of the Effects of Drought Stress and Salicylic Acid on Growth and Physiological Parameters in Four Spring Canola Cultivars
H Mohammadi, R Javadzadeh, B Pasban Eslam, L Parviz
Iranian Journal of Field Crops Research 16 (4), 807-819, 2018
22018
Evaluation of empirical mode decomposition and maximal overlap discrete wavelet transform approaches in trend analysis of meteorological variables
L Parviz, A Beyrami
Journal of Agricultural Meteorology 11 (1), 48-63, 2023
12023
Improvement the evapotranspiration estimates using Remote Sensing techniques and Fuzzy Regression
L Parviz
Poljoprivreda i Sumarstvo 64 (2), 121-136, 2018
12018
REVIEW THE EFFICIENCY INDICES RESULTING FROM REMOTE SENSING TECHNOLOGY IN EVALUATION OF METEOROLOGICAL DROUGHT CASE STUDY: SEFIDROUD CATCHMENT AREA
L Parviz, M Kholghi, SH ARAGHINEJAD, KH VALIZADEH, P Irannejad
GEOGRAPHY AND DEVELOPMENT 9 (22), 147-164, 2011
12011
Exposure to TiO2 nanoparticles (NPs) and zeolite stimulates growth, physiology, and phytochemical characteristics and elevates Mentha piperita L. tolerance to salinity stress
H Mohammadi, L Parviz, A Beyrami, F Anosheh-Bonab, M Ghorbanpour
Industrial Crops and Products 211, 118228, 2024
2024
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