Studies from U.S. Department of Agriculture (USDA) Agricultural Research Service (ARS) in the Area of Escherichia coli Described (Using Machine Learning Models To Estimate escherichia Coli Concentration In an Irrigation Pond From Water …)

Robotics & Machine Learning Daily News2024，Issue(Aug.16) ：53-54.

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Studies from U.S. Department of Agriculture (USDA) Agricultural Research Service (ARS) in the Area of Escherichia coli Described (Using Machine Learning Models To Estimate escherichia Coli Concentration In an Irrigation Pond From Water …)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Gram-Ne gative Bacteria - Escherichia coli. Accordingto news originating from Beltsvill e, Maryland, by NewsRx correspondents, research stated, “The rapid andefficient quantification of Escherichia coli concentrations is crucial for monitoring wat er quality. Remotesensing techniques and machine learning algorithms have been used to detect E. coli in water and estimateits concentrations.”

Key words

Beltsville/Maryland/United States/Nor th and Central America/Cyborgs/Emerging Technologies/Enterobacteriaceae/Esch erichia coli/Gram-Negative Bacteria/Machine Learning/Proteobacteria/U.S. Dep artment of Agriculture (USDA) Agricultural Resea

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2024

Robotics & Machine Learning Daily News

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