Computer vision and deep learning-based approaches for detection of food nutrients/nutrition: New insights and advances

S Kaushal, DK Tammineni, P Rana, M Sharma… - Trends in Food Science …, 2024 - Elsevier
Background Nutrition plays a vital role in maintaining human health. Traditional methods
used for assessing food composition and nutritional content often require destructive sample …

Deep leaning in food safety and authenticity detection: An integrative review and future prospects

Y Wang, HW Gu, XL Yin, T Geng, W Long, H Fu… - Trends in Food Science …, 2024 - Elsevier
Background Food safety is an important public health issue, and deep learning (DL)
algorithms can provide powerful tools and methods for food safety and authenticity …

[HTML][HTML] Deep learning in food category recognition

Y Zhang, L Deng, H Zhu, W Wang, Z Ren, Q Zhou… - Information …, 2023 - Elsevier
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 …

A step forward in food science, technology and industry using artificial intelligence

R Esmaeily, MA Razavi, SH Razavi - Trends in Food Science & Technology, 2024 - Elsevier
Background As same as the priority and importance of food for being alive for humans, its
science play also a significant role in the world. So, food science, food technology, food …

[HTML][HTML] Enhancing supply chain management with deep learning and machine learning techniques: A review

AM Khedr - Journal of Open Innovation: Technology, Market, and …, 2024 - Elsevier
Supply chain management (SCM) is crucial in establishing long-term partnerships that are
pivotal for achieving sustained business success. Effective SCM demands rigorous criteria …

Artificial intelligence in food safety: A decade review and bibliometric analysis

Z Liu, S Wang, Y Zhang, Y Feng, J Liu, H Zhu - Foods, 2023 - mdpi.com
Artificial Intelligence (AI) technologies have been powerful solutions used to improve food
yield, quality, and nutrition, increase safety and traceability while decreasing resource …

Machine learning screening of biomass precursors to prepare biomass carbon for organic wastewater purification: A review

BY Wang, B Li, HY Xu - Chemosphere, 2024 - Elsevier
In the past decades, the amount of biomass waste has continuously increased in human
living environments, and it has attracted more and more attention. Biomass is regarded as …

[HTML][HTML] Deep learning-based oyster packaging system

R Zhang, X Chen, Z Wan, M Wang, X **ao - Applied Sciences, 2023 - mdpi.com
With the deepening understanding of the nutritional value of oysters by consumers, oysters
as high-quality seafood are gradually entering the market. Raw edible oyster production …

Automatic fruit picking technology: A comprehensive review of research advances

J Zhang, N Kang, Q Qu, L Zhou, H Zhang - Artificial Intelligence Review, 2024 - Springer
In recent years, the fruit industry has become an important part of agricultural development,
and fruit harvesting is a key stage in the production process. However, picking fruits during …