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Peer Reviewed Journal Publications:

​[29]. Sapkota, A*., Haghverdi, A., Merhaut, D., Singh, A., Iradukunda, J.C. (2023). Response of Landscape Groundcovers to Deficit Irrigation: An Assessment Based on NDVI and Visual Quality Rating. HORTSCIENCE 58(3):274–285. 2023. https://doi.org/10.21273/HORTSCI16915-22.
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​[28]. Garg, A., Sapkota, A., Haghverdi, A*. (2022). SAMZ-Desert: A Satellite-based Agricultural Management Zoning Tool for the Desert Agriculture Region of Southern California. Computers and Electronics in Agriculture. 194 (2022) 106803.
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​[27]. Filipović, V*., Defterdarović, J., Krevh, V., Filipović, L., Ondrašek, G., Kranjčec, F., Magdić, I., Rubinić, V., Stipičević, S., Mustać, I., Bubalo Kovačić, M., He, H., Haghverdi, A., Gerke, HH. (2022). Estimation of Stagnosol Hydraulic Properties and Water Flow Using Uni- and Bimodal Porosity Models in Erosion-Affected Hillslope Vineyard Soils. Agronomy. 2022; 12(1):33. https://doi.org/10.3390/agronomy12010033. 

​[26]. Haghverdi, A., Reiter, M., Singh, A., Sapkota, A. (2021). Hybrid Bermudagrass and Tall fescue Turfgrass Irrigation in Central California: II. Assessment of NDVI, CWSI and Canopy Temperature Dynamics. Agronomy. Agronomy 2021, 11, 1733. https://doi.org/10.3390/agronomy11091733. 
​[25]. Haghverdi, A.; Reiter, M.; Sapkota, A.; Singh, A. (2021). Hybrid Bermudagrass and Tall Fescue Turfgrass Irrigation in Central California: I. Assessment of Visual Quality, Soil Moisture and Performance of an ET-based Smart Controller. Agronomy, 11, 1666. https://doi.org/10.3390/agronomy 11081666.
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[24]. Irmak, S., Sharma, V., Haghverdi, A., Jhala, A., Payero, J., Drudik, M. (2021). Maize crop coefficients under variable and fixed (uniform) rate irrigation and conventional and variable rate fertilizer management in three soil types. Agricultural Water Management. 243 (2021) 106489.

[23]. Haghverdi, A., Singh, A., Sapkota, A., Ghodsi, S., Reiter, M. (2021). Developing Irrigation Water Conservation Strategies For Hybrid Bermudagrass Using An Evapotranspiration-Based Smart Irrigation Controller In Inland Southern California. Agricultural Water Management. https://doi.org/10.1016/j.agwat.2020.106586.
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​[22]. Singh, A.; Haghverdi, A.; Öztürk, H.S.; Durner, W. (2021). Developing Pseudo Continuous Pedotransfer Functions for International Soils Measured with the Evaporation Method and the HYPROP System: II. The Soil Hydraulic Conductivity Curve. Water 2021, 13, 878. https://doi.org/10.3390/w13060878
​[21]. Singh, A., Haghverdi, A., Öztürk, H.S., Durner, W. (2020). Developing Pseudo Continuous Pedotransfer Functions for International Soils Measured with the Evaporation Method and the HYPROP System: I. The Soil Water Retention Curve. Water 2020, 12, 3425; doi:10.3390/w12123425.
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[20]. Leib, B., D. Muchoki, P. Vanchiasong, M. Zheng, T. Grant, A. Haghverdi, W. Wright, D. Butler and A. Wszelaki (2020). Rainwater Harvesting with Solar and Gravity Powered Irrigation for High Tunnels. Applied Engineering in Agriculture, 36(4): 489-498; doi: 10.13031/aea.13969.
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[19]. Sapkota, A., Haghverdi, A., Avila, C.E.A., Ying, S.C. (2020). Irrigation and Greenhouse Gas Emissions: A Review of Field-Based Studies. Soil Systems. 4, 20; doi:10.3390/soilsystems4020020.​

​[18]. Haghverdi, A., Öztürk, H.S., Durner, W. (2020). Studying Unimodal, Bimodal, PDI and Bimodal-PDI Variants of Multiple​ Soil Water Retention Models: II. Evaluation of Parametric Pedotransfer Functions Against Direct Fits. Water 2020, 12, 896; doi:10.3390/w12030896.
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​[17]. Haghverdi, A., Najarchi, M., Öztürk, H.S., Durner, W. (2020). Studying Unimodal, Bimodal, PDI and Bimodal-PDI Variants of Multiple Soil Water Retention Models: I. Direct Model Fit Using the Extended Evaporation and Dewpoint Methods. Water 2020, 12, 900; doi:10.3390/w12030900.​
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[16]. Zheng, M., Leib, B., Butler, D., Wright, W., Ayers, P., Hayes, D., and Haghverdi, A. (2019). Assessing Heat Management Practices in High Tunnels to Improve the Production of Romaine Lettuce. Agriculture 2019, 9, 203; doi:10.3390/agriculture9090203.​
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[15]. Haghverdi, A., Leib, B., Washington-Allen, R., Wright W., Ghodsi, S., Grant, T., Zheng, M., Vanchiasong, P. (2019). Studying Crop Yield Response to Supplemental Irrigation and the Spatial Heterogeneity of Soil Physical Attributes in a Humid Region. Agriculture.  9(2), 43.​
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​[14]. Zheng, M., Leib, B.G., Wright, W., Butler, D., Hayes, D., Ayers, P.D., Haghverdi, A., Vanchiasong, P., Muchoki, D., Grant, T., & Feng, L. (2019). Assessing heat management practices in high tunnels to improve organic production of bell peppers. Scientia Horticulturae. 246: 928–941.​​​​​​​
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[13]. Yonts, C. D., Haghverdi, A., Reichert, D. L., & Irmak, S. (2018). Deficit Irrigation and Surface Residue Cover Effects on Dry Bean Yield, In-season Soil Water Content and Irrigation Water Use Efficiency in Western Nebraska High Plains. Agricultural Water Management, 199: 138-147.​ ​
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[12]. Haghverdi, A., Washington-Allen, R.A., & Leib, B.G. (2018). Prediction of Cotton Yield from Vegetation Index Phenology Using Artificial Neural Networks, Computers and Electronics in Agriculture. 152: 186-197.
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​[11]. ​Haghverdi, A., Öztürk, H.S., & Durner, W. (2018). Measurement and Estimation of the Soil Water Retention Curve Using the Evaporation Method and the Pseudo Continuous Pedotransfer Function.  Journal of Hydrology. 563: 251–259.​
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[10]. Grant, T., Leib, B., Savoy, H., Verbree, D., Haghverdi, A. (2017). Cotton response to irrigation and nitrogen source in differing Mid-South soils. Agronomy Journal, 109(6): 1-8.​
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[9]. Nguyen, P., Haghverdi, A., De Pue, J., Botula, Y-D M ., Le, K. V., Waegeman, W., and Cornelis, W. M. (2017). Comparison of regression techniques in estimating soil water retention of tropical delta soils. Biosystems Engineering, 153: 12-27.​​
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​[8]. Haghverdi, A., Yonts, C. D., Reichert, D. L., & Irmak, S. (2017). Impact of irrigation, surface residue cover and plant population on sugarbeet growth and yield, irrigation water use efficiency and soil water dynamics. Agricultural Water Management, 180, 1-12.​
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[7]. Haghverdi, A., Leib, B. G., Washington-Allen, R. A., Buschermohle, M. J. and Ayers, P. D. (2016). Studying uniform and variable rate center pivot irrigation strategies with the aid of site specific water production functions. Computers and Electronics in Agriculture 123: 327-340.​​​
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[6]. Haghverdi, A., Leib, B. G., Washngton-Allen, R.A., Ayers, P. D., and Buschermohle, M. J. (2015). High resolution prediction of soil available water content within crop root zone at field scale. Journal of Hydrology 530: 167-179.​
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[5]. Haghverdi, A., Leib, B. G., Washington-Allen, R. A., Ayers, P. D., and Buschermohle, M. J. (2015). Perspectives on delineating management zones for variable rate irrigation. Computers and Electronics in Agriculture 117: 154-167.​
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[4]. Haghverdi, A., Leib, B.G. and Cornelis, W.M. (2015). A simple non-parametric approach to predict the soil water retention curve. Transactions of the ASABE 58 (3), 697-705.​
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​[3]. Haghverdi, A., Öztürk, H.S. and Cornelis, W.M. (2014). Revisiting the pseudo continuous pedotransfer function concept: impact of data quality and data mining method. Geoderma 226: 31-38. (IF: 2.77).​
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[2]. Haghverdi, A., Ghahraman, B., Leib, B.G., Pulido-Calvo, I., Kafi, M., Davary, K. and Ashorun, B. (2014). Deriving data mining and regression based water-salinity production functions for spcompag_2014.pdfring wheat (Triticum aestivum). Computers and Electronics in Agriculture 101, 68-75.

[1]. Haghverdi, A., Cornelis, W.M. and Ghahraman, B. (2012). A pseudo continuous neural network approach for developing water retention pedotransfer functions with limited data. Journal of Hydrology 442: 46-54.
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  • Home
  • Projects
  • Publications
    • Technical journal articles
    • Outreach publications
    • Books
  • Presentations
  • Facilities
  • Software and Tools
  • The Group