Machine learning enabled food contamination detection using rfid and internet of things system

HIGHLIGHTS

  • who: Abubakar Sharif and colleagues from the James Watt School of Engineering, University of Glasgow, Glasgow , QQ, UK have published the Article: Machine Learning Enabled Food Contamination Detection Using RFID and Internet of Things System, in the Journal: (JOURNAL)
  • what: This paper presents an approach based on radio frequency identification (RFID) and machine learning for contamination sensing of food items and drinks such as soft drinks alcohol baby formula milk etc. Although, this experiment provides good accuracy with a difference of 25% approximately 10 g`s addition each time in sample.
  • how: This . . .

     

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