首页|New Machine Learning Study Findings Recently Were Reported by a Researcher at Un iversity of Pamplona (Sensory Perception Systems and Machine Learning Methods fo r Pesticide Detection in Fruits)
New Machine Learning Study Findings Recently Were Reported by a Researcher at Un iversity of Pamplona (Sensory Perception Systems and Machine Learning Methods fo r Pesticide Detection in Fruits)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting originating fr om Pamplona, Colombia, by NewsRx correspondents, research stated, “In this study , an electronic tongue (E-tongue) and electronic nose (E-nose) systems were appl ied to detect pesticide residues, specifically Preza, Daconil, Curzate, Bricol, Accros, Amistar, and Funlate, in fruits such as cape gooseberries, apples, plums , and strawberries.” Our news reporters obtained a quote from the research from University of Pamplon a: “These advanced systems present several advantages over conventional methods (e.g., GC-MS and others), including faster analysis, lower costs, ease of use, a nd portability. Additionally, they enable non-destructive testing and realtime monitoring, making them ideal for routine screenings and on-site analyses where effective detection is crucial. The collected data underwent rigorous analysis t hrough multivariate techniques, specifically principal component analysis (PCA) and linear discriminant analysis (LDA).”
University of PamplonaPamplonaColomb iaSouth AmericaAgrochemicalsCyborgsEmerging TechnologiesMachine Learni ngPesticides
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