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 …

Biotechnological production of sustainable microbial proteins from agro-industrial residues and by-products

B Bajić, D Vučurović, Đ Vasić, R Jevtić-Mučibabić… - Foods, 2022 - mdpi.com
Microbial proteins, ie, single-cell proteins or microbial biomass, can be cultivated for food
and animal feed due to their high protein content and the fact that they represent a rich …

[HTML][HTML] Artificial intelligence applications in the agrifood sectors

I Kutyauripo, M Rushambwa, L Chiwazi - Journal of Agriculture and Food …, 2023 - Elsevier
Food security is one of the priorities of every country in the World. However, different factors
are making it difficult to meet global targets on food security. Some unprecedented shocks …

A review of machine learning applications in life cycle assessment studies

XX Romeiko, X Zhang, Y Pang, F Gao, M Xu… - Science of The Total …, 2024 - Elsevier
Abstract Life Cycle Assessment (LCA) is a foundational method for quantitative assessment
of sustainability. Increasing data availability and rapid development of machine learning …

Health to eat: a smart plate with food recognition, classification, and weight measurement for type-2 diabetic mellitus patients' nutrition control

SR Joshua, S Shin, JH Lee, SK Kim - Sensors, 2023 - mdpi.com
The management of type 2 diabetes mellitus (T2DM) is generally not only focused on
pharmacological therapy. Medical nutrition therapy is often forgotten by patients for several …

[HTML][HTML] An effective explainable food recommendation using deep image clustering and community detection

M Rostami, U Muhammad, S Forouzandeh… - Intelligent Systems with …, 2022 - Elsevier
In food diet communication domain, images convey important information to capture users'
attention beyond the traditional ingredient content, making it crucial to influence user …

[HTML][HTML] Evaluating plant disease detection mobile applications: Quality and limitations

A Siddiqua, MA Kabir, T Ferdous, IB Ali, LA Weston - Agronomy, 2022 - mdpi.com
Agronomy | Free Full-Text | Evaluating Plant Disease Detection Mobile Applications: Quality
and Limitations Next Article in Journal Soil Quality Index as Affected by Integrated Nutrient …

Smart diet diary: real-Time mobile application for food recognition

M Nadeem, H Shen, L Choy, JMH Barakat - Applied System Innovation, 2023 - mdpi.com
Growing obesity has been a worldwide issue for several decades. This is the outcome of
common nutritional disorders which results in obese individuals who are prone to many …

Dancing Delicacies: Designing Computational Food for Dynamic Dining Trajectories

J Deng, H Yang, A Saini, UD Gaudenz, L Yao… - Proceedings of the …, 2023 - dl.acm.org
Contemporary human-food interaction design is often a technology-driven endeavor in
which food's materiality has been largely underexplored. Building on the concept of …

[HTML][HTML] Revolutionizing food quality assessment: Unleashing the potential of artificial intelligence for enhancing honey physicochemical, biochemical, and …

H Chenchouni, H Laallam - Journal of the Saudi Society of Agricultural …, 2024 - Elsevier
In the pursuit of advancing food quality assessment, this study employs sophisticated data-
driven techniques to delve into the complex realm of honey analysis. With the aim of …