| 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 | 26 | 2017 |
| Determination of effective indices in the drought monitoring through analysis of satellite images L Parviz Poljoprivreda i Sumarstvo 62 (1), 305, 2016 | 14 | 2016 |
| 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 | 12 | 2020 |
| Development of precipitation forecast model based on artificial intelligence and subseasonal clustering L Parviz, K Rasouli Journal of Hydrologic Engineering 24 (12), 04019053, 2019 | 11 | 2019 |
| 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 | 9 | 2010 |
| 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 | 8 | 2018 |
| 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 | 8 | 2018 |
| 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 | 7 | 2011 |
| 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 | 6 | 2023 |
| 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 | 5 | 2019 |
| 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 | 5 | 2009 |
| 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 | 3 | 2020 |
| 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 | 3 | 2018 |
| 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 | 3 | 2017 |
| 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 | 3 | 2011 |
| 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 | 2 | 2018 |
| 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 | 1 | 2023 |
| Improvement the evapotranspiration estimates using Remote Sensing techniques and Fuzzy Regression L Parviz Poljoprivreda i Sumarstvo 64 (2), 121-136, 2018 | 1 | 2018 |
| 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 | 1 | 2011 |
| 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 |
