Evaluation of E. coli in sediment for assessing irrigation water quality using machine learning-Reference-Cited by-同舟云学术

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Evaluation of E. coli in sediment for assessing irrigation water quality using machine learning

Published:2021-12 Issue: Volume:799 Page:149286
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Tousi Erfan Ghasemi,Duan Jennifer G.,Gundy Patricia M.,Bright Kelly R.,Gerba Charles P.

Funder

Center For Produce Safety

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference104 articles.

1. Occurrence of viruses in US groundwaters;Abbaszadegan;J. Am. Water Work. Assoc.,2003

2. Predicting Escherichia coli loads in cascading dams with machine learning: an integration of hydrometeorology, animal density and grazing pattern;Abimbola;Sci. Total Environ.,2020

3. Presence ofpathogens and Indi- cator microbes at a non-point source subtropical recreational marine beach;Abdelzaher;Appl. Environ. Microbiol.,2010

4. Potential associations between fecal shedding of salmonella in feedlot cattle treated for apparent respiratory disease and subsequent adverse health outcomes;Alam;Vet. Res.,2009

5. Evaluation of the quality of coastal bathing waters in Spain through fecal bacteria Escherichia coli and enterococcus;Aragonés;Sci. Total Environ.,2016

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2. Using machine learning models to estimate Escherichia coli concentration in an irrigation pond from water quality and drone-based RGB imagery data;Water Research;2024-08

3. Prevalence of STEC virulence markers and Salmonella as a function of abiotic factors in agricultural water in the southeastern United States;Frontiers in Microbiology;2024-05-20

4. Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU;Ecological Informatics;2024-03

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