Thermal Imaging AI System Detects Honey Adulteration With High Precision
Scientists have developed an advanced AI system that uses thermal imaging and deep learning to detect honey adulteration with glucose syrup. The method reportedly achieves high accuracy in identifying even low levels of contamination across multiple honey varieties.
Breakthrough in Honey Quality Control
Researchers have developed an innovative artificial intelligence system that uses thermal imaging analysis to detect honey adulteration with unprecedented precision, according to recent reports. The method combines advanced neural network architecture with attention mechanisms to identify even small amounts of glucose syrup added to honey, sources indicate.
