首页|New Machine Learning Study Findings Recently Were Reported by Researchers at Uni versity Putra Malaysia (Application of machine learning approach on halal meat a uthentication principle, challenges, and prospects: A review)
New Machine Learning Study Findings Recently Were Reported by Researchers at Uni versity Putra Malaysia (Application of machine learning approach on halal meat a uthentication principle, challenges, and prospects: A review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting out of Selangor, Malaysia, by NewsRx editors, research stated, “Meat is a source of essential amino acids tha t are necessary for human growth and development, meat can come from dead, alive , Halal, or non-Halal animal species which are intentionally or economically (ad ulteration) sold to consumers.” The news journalists obtained a quote from the research from University Putra Ma laysia: “Sharia has prohibited the consumption of pork by Muslims. Because of th e activities of adulterators in recent times, consumers are aware of what they e at. In the past, several methods were employed for the authentication of Halal m eat, but numerous drawbacks are attached to this method such as lack of flexibil ity, limited application, time,consumption and low level of accuracy and sensiti vity. Machine Learning (ML) is the concept of learning through the development a nd application of algorithms from given data and making predictions or decisions without being explicitly programmed. The techniques compared with traditional m ethods in Halal meat authentication are fast, flexible, scaled, automated, less expensive, high accuracy and sensitivity. Some of the ML approaches used in Hala l meat authentication have proven a high percentage of accuracy in meat authenti city while other approaches show no evidence of Halal meat authentication for no w.”
University Putra MalaysiaSelangorMal aysiaAsiaCyborgsEmerging TechnologiesMachine Learning
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