In considering the need of people all over the world for high-quality food, there has been a
recent increase in interest in the role of nondestructive and rapid detection technologies in …

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 …

Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …

With the dramatic increase of the global population and with food insecurity increasing, it
has become a major concern for both individuals and governments to fulfill the need for …

Recent deep learning methods for fruits classification resulted in promising performance.
However, these methods are with heavy-weight architectures in nature, and hence require a …

Fruit is a key crop in worldwide agriculture feeding millions of people. The standard supply
chain of fruit products involves quality checks to guarantee freshness, taste, and, most of all …

Ripeness classification is one of the most challenging tasks in the postharvest management
of mulberry fruit. The risks of microbial contamination and human error in manual sorting are …

A key challenge in automated orchard management robots is the fast and accurate
identification of crop growth conditions and maturity for subsequent operations such as …

The fruit and vegetable classification problem is an inseparable branch in the field of image
recognition. GoogLeNet provides a more ideal solution for the fruit and vegetable …

As strawberries are a widely grown cash crop, the development of strawberry fruit-picking
robots for an intelligent harvesting system should match the rapid development of strawberry …