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ORCIDYakov Pachepsky
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- affiliation: USDA ARS Beltsville Agricultural Research Center, UK
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2020 – today
- 2023
[j13]Seok Min Hong, Ather Abbas
, Soobin Kim, Do Hyuck Kwon, Nakyung Yoon, Daeun Yun, Sanguk Lee, Yakov Pachepsky, JongCheol Pyo, Kyung Hwa Cho:
Autonomous calibration of EFDC for predicting chlorophyll-a using reinforcement learning and a real-time monitoring system. Environ. Model. Softw. 168: 105805 (2023)- 2022
- [j12]Alfonso González Jiménez, Yakov Pachepsky, José Luis Gómez Flores, Mario Ramos Rodríguez, Karl Vanderlinden:
Correcting On-the-Go Field Measurement-Coordinate Mismatch by Minimizing Nearest Neighbor Difference. Sensors 22(4): 1496 (2022) - 2021
- [j11]Matthew D. Stocker, Yakov A. Pachepsky, Robert L. Hill:
Prediction of E. coli Concentrations in Agricultural Pond Waters: Application and Comparison of Machine Learning Algorithms. Frontiers Artif. Intell. 4: 768650 (2021) - 2020
- [j10]Geonwoo Kim, In-Suck Baek, Matthew D. Stocker, Jaclyn E. Smith, Andrew L. Van Tassell, Jianwei Qin, Diane E. Chan, Yakov Pachepsky, Moon S. Kim:
Hyperspectral Imaging from a Multipurpose Floating Platform to Estimate Chlorophyll-a Concentrations in Irrigation Pond Water. Remote. Sens. 12(13): 2070 (2020)
2010 – 2019
- 2019
- [j9]Carlos García-Gutiérrez, Miguel Ángel Martín, Yakov Pachepsky:
On the Information Content of Coarse Data with Respect to the Particle Size Distribution of Complex Granular Media: Rationale Approach and Testing. Entropy 21(6): 601 (2019) - [j8]Jong Cheol Pyo, Yakov A. Pachepsky, Minjeong Kim, Sang-Soo Baek, Hyuk Lee, YoonKyung Cha, Yongeun Park, Kyung Hwa Cho:
Simulating seasonal variability of phytoplankton in stream water using the modified SWAT model. Environ. Model. Softw. 122 (2019) - 2018
- [j7]Gene Whelan, Keewook Kim, Rajbir Parmar, Gerard F. Laniak, Kurt Wolfe, Michael Galvin, Marirosa Molina, Yakov A. Pachepsky, Paul Duda, Richard Zepp, Lourdes Prieto, Julie L. Kinzelman, Gregory T. Kleinheinz, Mark A. Borchardt:
Capturing microbial sources distributed in a mixed-use watershed within an integrated environmental modeling workflow. Environ. Model. Softw. 99: 126-146 (2018) - 2017
- [j6]Jong Cheol Pyo, Yakov Pachepsky, Sang-Soo Baek, YongSeong Kwon, Minjeong Kim, Hyuk Lee, Sanghyun Park, YoonKyung Cha, Rim Ha, Gibeom Nam, Yongeun Park, Kyung Hwa Cho:
Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea. Remote. Sens. 9(6): 542 (2017) - 2016
- [i2]Behzad Ghanbarian, Vahid Taslimitehrani, Yakov A. Pachepsky:
Scale-Dependent Pedotransfer Functions Reliability for Estimating Saturated Hydraulic Conductivity. CoRR abs/1610.06958 (2016) - 2015
- [i1]Behzad Ghanbarian, Vahid Taslimitehrani, Guozhu Dong, Yakov A. Pachepsky:
Measurement Scale Effect on Prediction of Soil Water Retention Curve and Saturated Hydraulic Conductivity. CoRR abs/1502.02511 (2015) - 2014
- [j5]Gene Whelan, Keewook Kim, Mitch A. Pelton, Jeffrey A. Soller, Karl J. Castleton, Marirosa Molina, Yakov Pachepsky, Richard Zepp:
An integrated environmental modeling framework for performing Quantitative Microbial Risk Assessments. Environ. Model. Softw. 55: 77-91 (2014) - 2010
- [j4]F. San Jose Martinez, Yakov A. Pachepsky, Walter J. Rawls:
Modelling solute transport in soil columns using advective-dispersive equations with fractional spatial derivatives. Adv. Eng. Softw. 41(1): 4-8 (2010)
2000 – 2009
- 2008
- [j3]Attila Nemes, R. T. Roberts, Walter J. Rawls, Yakov A. Pachepsky, Martinus Th. van Genuchten:
Software to estimate -33 and -1500kPa soil water retention using the non-parametric k-Nearest Neighbor technique. Environ. Model. Softw. 23(2): 254-255 (2008) - 2002
- [j2]Anna Oldak, Thomas J. Jackson, Yakov Pachepsky:
Using GIS in passive microwave soil moisture mapping and geostatistical analysis. Int. J. Geogr. Inf. Sci. 16(7): 681-698 (2002) - 2000
- [j1]V. R. Reddy, Yakov A. Pachepsky:
Predicting crop yields under climate change conditions from monthly GCM weather projection. Environ. Model. Softw. 15(1): 79-86 (2000)
Coauthor Index
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