Predicting crop yields under climate change conditions from monthly GCM weather projection. - V. R. Reddy; Yakov A. Pachepsky (Environ. Model. Softw., 2000)

Using GIS in passive microwave soil moisture mapping and geostatistical analysis. - Anna Oldak; Thomas J. Jackson; Yakov Pachepsky (Int. J. Geogr. Inf. Sci., 2002)

Software to estimate -33 and -1500kPa soil water retention using the non-parametric k-Nearest Neighbor technique. - Attila Nemes 002; R. T. Roberts; Walter J. Rawls; Yakov A. Pachepsky; Martinus Th. van Genuchten (Environ. Model. Softw., 2008)

Modelling solute transport in soil columns using advective-dispersive equations with fractional spatial derivatives. - F. San Jose Martinez; Yakov A. Pachepsky; Walter J. Rawls (Adv. Eng. Softw., 2010)

An integrated environmental modeling framework for performing Quantitative Microbial Risk Assessments. - Gene Whelan; Keewook Kim; Mitch A. Pelton; Jeffrey A. Soller; Karl J. Castleton; Marirosa Molina; Yakov Pachepsky; Richard Zepp (Environ. Model. Softw., 2014)

Measurement Scale Effect on Prediction of Soil Water Retention Curve and Saturated Hydraulic Conductivity. - Behzad Ghanbarian; Vahid Taslimitehrani; Guozhu Dong; Yakov A. Pachepsky (CoRR, 2015)

Scale-Dependent Pedotransfer Functions Reliability for Estimating Saturated Hydraulic Conductivity. - Behzad Ghanbarian; Vahid Taslimitehrani; Yakov A. Pachepsky (CoRR, 2016)

Optimizing Semi-Analytical Algorithms for Estimating Chlorophyll-a and Phycocyanin Concentrations in Inland Waters in Korea. - 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 (Remote. Sens., 2017)

Capturing microbial sources distributed in a mixed-use watershed within an integrated environmental modeling workflow. - 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; et al. (Environ. Model. Softw., 2018)

On the Information Content of Coarse Data with Respect to the Particle Size Distribution of Complex Granular Media: Rationale Approach and Testing. - Carlos García-Gutiérrez; Miguel Ángel Martín; Yakov Pachepsky (Entropy, 2019)

Simulating seasonal variability of phytoplankton in stream water using the modified SWAT model. - Jong Cheol Pyo; Yakov A. Pachepsky; Minjeong Kim; Sang-Soo Baek; Hyuk Lee; YoonKyung Cha; Yongeun Park; Kyung Hwa Cho (Environ. Model. Softw., 2019)

Hyperspectral Imaging from a Multipurpose Floating Platform to Estimate Chlorophyll-a Concentrations in Irrigation Pond Water. - 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 001 (Remote. Sens., 2020)

Prediction of E. coli Concentrations in Agricultural Pond Waters: Application and Comparison of Machine Learning Algorithms. - Matthew D. Stocker; Yakov A. Pachepsky; Robert L. Hill (Frontiers Artif. Intell., 2021)

Correcting On-the-Go Field Measurement-Coordinate Mismatch by Minimizing Nearest Neighbor Difference. - Alfonso González Jiménez; Yakov Pachepsky; José Luis Gómez Flores; Mario Ramos Rodríguez; Karl Vanderlinden (Sensors, 2022)

Autonomous calibration of EFDC for predicting chlorophyll-a using reinforcement learning and a real-time monitoring system. - Seok Min Hong; Ather Abbas; Soobin Kim; Do Hyuck Kwon; Nakyung Yoon; Daeun Yun; Sanguk Lee; Yakov Pachepsky; JongCheol Pyo; Kyung Hwa Cho (Environ. Model. Softw., 2023)