| The Use of NARX Neural Networks to Forecast Daily Groundwater Levels SM Guzman, JO Paz, MLM Tagert Water Resources Management, 2017 | 172 | 2017 |
| Evaluation of Seasonally Classified Inputs for the Prediction of Daily Groundwater Levels: NARX Networks Vs Support Vector Machines SM Guzman, JO Paz, MLM Tagert, AE Mercer Environmental Modeling & Assessment, 1-12, 2019 | 106 | 2019 |
| An integrated SVR and crop model to estimate the impacts of irrigation on daily groundwater levels SM Guzmán, JO Paz, MLM Tagert, AE Mercer, JW Pote Agricultural Systems, 2017 | 46 | 2017 |
| A hybrid data-driven machine learning technique for evapotranspiration modeling in various climates M Valipour, MA Gholami Sefidkouhi, M Raeini-Sarjaz, SM Guzman Atmosphere 10 (6), 311, 2019 | 32 | 2019 |
| Selection of optimal scales for soil depth prediction on headwater hillslopes: A modeling approach X Han, J Liu, S Mitra, X Li, P Srivastava, SM Guzman, X Chen Catena 163, 257-275, 2018 | 29 | 2018 |
| Selection of Effective GCM Bias Correction Methods and Evaluation of Hydrological Response under Future Climate Scenarios Y Tan, SM Guzman, Z Dong, L Tan Climate 8 (10), 2020 | 28 | 2020 |
| Artificial Neural Networks and Support Vector Machines: Contrast Study for Groundwater Level Prediction. SM Guzman, JO Paz, MLM Tagert, A Mercer 2015 ASABE annual international meeting, 1, 2015 | 22 | 2015 |
| Evapotranspiration-Based Irrigation Scheduling for Agriculture: AE457/AE457, 5/2019 I Kisekka, KW Migliaccio, MD Dukes, B Schaffer, JH Crane, HK Bayabil, ... EDIS 2019, 2019 | 18 | 2019 |
| Reusing irrigation water from tailwater recovery systems: Implications on field and stream-level nutrient status GW Carruth, JO Paz, MLM Tagert, SM Guzmán, JL Oldham 2014 Montreal, Quebec Canada July 13–July 16, 2014, 1, 2014 | 15 | 2014 |
| A neural network framework to estimate groundwater levels in the Mississippi River Valley shallow alluvial aquifer SM Guzmán, JO Paz, MLM Tagert, R Wu 2014 Montreal, Quebec Canada July 13–July 16, 2014, 1, 2014 | 13 | 2014 |
| Identifying the dynamic evolution and feedback process of water resources nexus system considering socioeconomic development, ecological protection, and food security: A … Y Tan, Z Dong, SM Guzman, X Wang, W Yan Hydrology and Earth System Sciences 25 (12), 6495-6522, 2021 | 9 | 2021 |
| Artificial Intelligence (AI) for Crop Yield Forecasting: AE571/AE571, 4/2022 C Fraisse, Y Ampatzidis, S Guzmán, W Lee, C Martinez, S Shukla, ... Edis 2022 (2), 2022 | 8 | 2022 |
| Identification of the meteorological variables influencing evapotranspiration variability over Florida M Valipour, SM Guzmán Environmental Modeling & Assessment 27 (4), 645-663, 2022 | 7 | 2022 |
| Evapotranspiration-Based Irrigation for Agriculture: Crop Coefficients of Some Commercial Crops in Florida: AE456/AE456, rev. 6/2019 I Kisekka, KW Migliaccio, MD Dukes, JH Crane, B Schaffer, SM Guzman, ... EDIS 2019 (3), 2019 | 6 | 2019 |
| Evapotranspiration-Based irrigation for agriculture: Implementing evapotranspiration-based irrigation scheduling for agriculture I Kisekka, KW Migliaccio, MD Dukes, JH Crane, B Schaffer, HK Bayabil, ... Department of Agricultural and Biological Engineering (ABE), 2019 | 6 | 2019 |
| Evapotranspiration-Based Irrigation Scheduling for Agriculture. AE457. Gainesville: University of Florida Institute of Food and Agricultural Sciences I Kisekka, KW Migliaccio, MD Dukes, B Schaffer, JH Crane, HK Bayabil, ... | 6 | 2019 |
| Perspective: Phosphorus monitoring must be rooted in sustainability frameworks spanning material scale to human scale E McLamore, O Duckworth, TH Boyer, AM Marshall, DF Call, JH Bhadha, ... Water Research X 19, 100168, 2023 | 5 | 2023 |
| Adaptive and predictive decision support system for irrigation scheduling: An approach integrating humans in the control loop G Conde, SM Guzmán, A Athelly Computers and Electronics in Agriculture 217, 108640, 2024 | 4 | 2024 |
| Baseflow estimation based on a self-adaptive non-linear reservoir algorithm in a rainy watershed of eastern China S He, Y Yan, K Yu, X Xin, SM Guzman, J Lu, Z He Journal of Environmental Management 332, 117379, 2023 | 4 | 2023 |
| Evaluación de la Productividad del Agua en el Cultivo de Banano (Musa Spp) Para la Región del Magdalena por Medio de la Variación de tres Coeficientes de Cultivo (kc) SM Guzmán Gutiérrez http://www.bdigital.unal.edu.co/3926/, 2011 | 4 | 2011 |
Joel PazProfessor, Agricultural and Biological Engineering, Mississippi State UniversityVerified email at abe.msstate.edu