Zobrazeno 1 - 10
of 279
pro vyhledávání: '"Yakov, Pachepsky"'
Publikováno v:
Frontiers in Water, Vol 6 (2024)
The presence of fecal bacteria in irrigation waters is well documented in causing human and animal illnesses, with the potential for antibiotic-resistant pathogens to increase the seriousness of these infections. Approaches to sampling fecal and anti
Externí odkaz:
https://doaj.org/article/3946fd729ddd4f4ba6fd2ec236bf7e25
Autor:
JongCheol Pyo, Yakov Pachepsky, Soobin Kim, Ather Abbas, Minjeong Kim, Yong Sung Kwon, Mayzonee Ligaray, Kyung Hwa Cho
Publikováno v:
Water Research X, Vol 21, Iss , Pp 100207- (2023)
Water quality is substantially influenced by a multitude of dynamic and interrelated variables, including climate conditions, landuse and seasonal changes. Deep learning models have demonstrated predictive power of water quality due to the superior a
Externí odkaz:
https://doaj.org/article/c57d1792701f4337b2ac592906a46a05
Publikováno v:
Applied Microbiology, Vol 3, Iss 2, Pp 504-518 (2023)
Irrigation waters may facilitate the spread of antibiotic-resistant bacteria or genes to humans and animals. Monitoring of resistance in irrigated waters has become common; however, many studies do not incorporate a spatial component into sampling de
Externí odkaz:
https://doaj.org/article/5924e84511404d369a9cc439b3e6f0c4
Publikováno v:
Environments, Vol 11, Iss 4, p 74 (2024)
Spatiotemporal variations of phytoplankton populations in agricultural irrigation ponds need to be accounted for in order to properly assess water quality. Phytoplankton cell and photosynthetic pigment concentrations are two common metrics used to ch
Externí odkaz:
https://doaj.org/article/104b4d3443cb42768372ca1c29f026db
Autor:
Abigail P. Boyd, Yaguang Luo, William P. Kustas, Naomi K. Fukagawa, Autar K. Mattoo, Wade T. Crow, Yakov Pachepsky, Moon S. Kim, Hyun S. Lillehoj, Curtis P. Van Tassell, Howard Zhang, Le Ann Blomberg, Jitender P. Dubey, Joan K. Lunney
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 7 (2023)
Agriculture is an important link to many issues that challenge society today, including adaptation to and mitigation of climate change, food security, and communicable and non-communicable diseases in animals and humans. Transformation of agriculture
Externí odkaz:
https://doaj.org/article/403e1fdc4447498db67301eeeea89f2a
Autor:
Seongyun Kim, Yakov Pachepsky, Shirley A. Micallef, Rachel Rosenberg Goldstein, Amy R. Sapkota, Fawzy Hashem, Salina Parveen, Kalmia E. Kniel, Manan Sharma
Publikováno v:
Journal of Food Protection, Vol 86, Iss 4, Pp 100058- (2023)
Enteric bacterial pathogen levels can influence the suitability of irrigation water sources for fruits and vegetables. We hypothesize that stable spatial patterns of Salmonella enterica and Listeria monocytogenes levels may exist across surface water
Externí odkaz:
https://doaj.org/article/2aac44a5eff34cf999843a0b64d16529
Autor:
Behzad Ghanbarian, Yakov Pachepsky
Publikováno v:
Vadose Zone Journal, Vol 21, Iss 4, Pp n/a-n/a (2022)
Abstract Artificial intelligence (AI) and machine learning (ML) have been recently applied extensively in various disciplines of vadose zone hydrology. However, not much attention has been paid to their database‐dependent accuracy and uncertainty,
Externí odkaz:
https://doaj.org/article/d4449f8f2b5e47878d786a15c92017ac
Autor:
Gülay Karahan, Yakov Pachepsky
Publikováno v:
Revista Brasileira de Ciência do Solo, Vol 46 (2022)
ABSTRACT The measurement method (MM) and the land-use (LU) are two soil structure-related attributes that are available in infiltration experiments. This study aims to hypothesize that measurement technique and land-use might be good predictors of th
Externí odkaz:
https://doaj.org/article/82f76224176546728df0a0041f693083
Publikováno v:
Environments, Vol 9, Iss 11, p 142 (2022)
Phytoplankton community composition has been utilized for water quality assessments of various freshwater sources, but studies are lacking on agricultural irrigation ponds. This work evaluated the performance of the random forest algorithm in estimat
Externí odkaz:
https://doaj.org/article/1da164ed3b504ad3997541145e3089d4
Autor:
Seongyun Kim, Manashi Paul, Masoud Negahban-Azar, Shirley A. Micallef, Rachel E. Rosenberg Goldstein, Fawzy Hashem, Salina Parveen, Amir Sapkota, Kalmia Kniel, Amy R. Sapkota, Yakov Pachepsky, Manan Sharma
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7526 (2022)
High spatiotemporal variability of pathogen concentrations in surface waters complicates the design and interpretation of microbial water quality monitoring. Empirical orthogonal function (EOF) analysis can provide spatial patterns (EOFs) of variabil
Externí odkaz:
https://doaj.org/article/64b92cc6a4a24c3d94f8c177cc859ad6