首页|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 …)
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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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.”
BeltsvilleMarylandUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesEnterobacteriaceaeEsch erichia coliGram-Negative BacteriaMachine LearningProteobacteriaU.S. Dep artment of Agriculture (USDA) Agricultural Resea
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