Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …

Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …

Dietary studies showed that dietary problems such as obesity are associated with other
chronic diseases, including hypertension, irregular blood sugar levels, and increased risk of …

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 …

The increase in awareness of people toward their nutritional habits has drawn considerable
attention to the field of automatic food analysis. Focusing on self-service restaurants …

The daily healthy diet and balanced intake of essential nutrients play an important role in
modern lifestyle. The estimation of a meal's nutrient content is an integral component of …

With commercialization of deep learning (DL) models, daily precision dietary record based
on images from smartphones becomes possible. This study took advantage of DL …

Food image classification is useful in diet management apps for personal health
management. Various methods for classifying food images in a particular country have been …

Fruit quality assessment, grading and sorting are of vital importance to fruit processing, and
all these involve fruit recognition. Vision-based fruit recognition can recognize fruit …

The management of daily food intake aids to preserve a healthy body, minimize the risk of
many diseases, and monitor chronic diseases, such as diabetes and heart problems. To …