In the late 2010s, artificial intelligence (AI) technologies became complementary to the
research areas of food science and nutrition. This review aims to summarize these …

The Part 1 prequel to this review evaluated the evolution of modelling techniques used in
evaluation of fruit quality over the past three decades and noted a progression towards the …

With the advancement of near infrared spectroscopy and deep learning technology,
nondestructive quantitative testing plays a crucial role in various fields such as agriculture …

The physical and physiological development of infants and toddlers requires the proper
amount of macronutrient intake, making it an essential problem to estimate the macronutrient …

Determining the Dry Matter Content (DMC) of mango fruit is important for assessing harvest
maturity and ensuring the quality of the ripened fruit. Near Infrared (NIR) spectroscopy offers …

In the Industry Technology 4.0 era at the moment this sophisticated technology information
and communication develop very fast. Many applications developed as intelligence solution …

The application of technology aims to improve the quality of life of its users. Technology can
also help address individual users' issues by empowering the social resources formed …

Children with unbalanced nutrition are currently crucial health issues and under the spotlight
around the world. One of the terms for malnourished children is stunting. Stunting is a …

Malnutrition is a nutritional imbalance in a child's body. Currently, there have been many
reviews done on malnutrition in children. However, reviews on artificial intelligence linked …

Explainable artificial intelligence (XAI) is an advanced form of machine learning that allows
people to understand and trust machine learning algorithms' results. Users can drag and …