Artificial intelligence (AI) has embodied the recent technology in the food industry over the
past few decades due to the rising of food demands in line with the increasing of the world …

The objective of this review was to evaluate current studies that addressed the use of
sensors in stored grains, Intenet of Things (IoT) precepts and Machine Learning (ML) …

Abstract Each year, 1.3 billion tons of food is lost due to spoilage or loss in the supply chain,
accounting for approximately one third of global food production. This requires a …

Rice quality deterioration will cause grievous waste of stored grain and various food safety
problems. Gas detection of volatile organic compounds (VOCs) produced by deterioration is …

For stored grains and their powders, pest infestation has always been a knotty problem and
thus comprises a serious threat to global food security. Obviously, timely, rapid and accurate …

Accurate prediction of the eating and cooking quality (ECQ) of rice is of great importance.
Statistical and machine learning models were developed to predict the overall acceptability …

Abstract Electronic Nose (E-Nose) technology unlocks the fascinating world of electronic
detection, identification, and analysis of scents and odors, paving the way for innovative …

The use of silo and raffia bags for the temporary grain storage has been increasing in recent
years. However, the methods for monitoring a stored product are limited to visual inspections …

Aegle marmelos is a sacred fruit with several medicinal properties, though availability is
limited in a certain period of the year. It is therefore preserved in the form of leather through …

In this study, an electronic nose coupled with artificial neural network (ANN) was used to
predict the shelf life of two oil with new production date and oil with old production date over …