AIMC Topic: Food Industry

Clear Filters Showing 21 to 24 of 24 articles

Automating egg damage detection for improved quality control in the food industry using deep learning.

Journal of food science
The detection and classification of damage to eggs within the egg industry are of paramount importance for the production of healthy eggs. This study focuses on the automatic identification of cracks and surface damage in chicken eggs using deep lear...

Fast honey classification using infrared spectrum and machine learning.

Mathematical biosciences and engineering : MBE
Honey has been one previous natural food in human history. However, as the supply cannot satisfy the market demand, many incidents of adulterated and fraudulent honey have been reported. In Taiwan, some common adulterated honey and fraudulent honey i...

Applications of response surface methodology and artificial neural network for decolorization of distillery spent wash by using activated Piper nigrum.

Journal of environmental biology
Ethanol production from sugarcane molasses yields large volume of highly colored spent wash as effluent. This color is imparted by the recalcitrant melanoidin pigment produced due to the Maillard reaction. In the present work, decolourization of mela...