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 …

[HTML][HTML] Application of precision agriculture technologies in Central Europe-review

B Petrović, R Bumbálek, T Zoubek, R Kuneš… - Journal of Agriculture …, 2024 - Elsevier
Precision agriculture (PA) relies on a large amount of precise data about a given area and
allows that data to be used in accordance with agronomic practices. It offers farmers greater …

[HTML][HTML] Progress in artificial intelligence-based visual servoing of autonomous unmanned aerial vehicles (UAVs)

M Al Radi, MN AlMallahi, AS Al-Sumaiti… - International Journal of …, 2024 - Elsevier
Unmanned aerial vehicles (UAVs) have attracted massive attention in many engineering
and practical applications in the last years for their characteristics and operation flexibility …

[HTML][HTML] Recent climate-smart innovations in agrifood to enhance producer incomes through sustainable solutions

KTR Christian, CAB Philippe, AG Abraham… - Journal of Agriculture …, 2024 - Elsevier
Climate change poses significant challenges to the agrifood sector, affecting producers'
incomes and food security. This review explores recent climate-smart innovations in agrifood …

Contextualizing remote fall risk: Video data capture and implementing ethical AI

J Moore, P McMeekin, T Parkes, R Walker… - NPJ digital …, 2024 - nature.com
Wearable inertial measurement units (IMUs) are being used to quantify gait characteristics
that are associated with increased fall risk, but the current limitation is the lack of contextual …

[HTML][HTML] Impact of artificial intelligence on aeronautics: An industry-wide review

A Zaoui, D Tchuente, SF Wamba… - Journal of Engineering …, 2024 - Elsevier
Curiously, there are few contributions in the scientific literature on the subject of artificial
intelligence (AI) and its impact on aeronautics. However, many communications and reports …

Progress towards achieving intelligent food assurance systems

J Zhou, P Brereton, K Campbell - Food Control, 2024 - Elsevier
Background Food assurance systems (FAS) that are critical for protecting the quality and
safety of food products can be defined as a systematic approach to ensuring the safety …

Leveraging edge artificial intelligence for sustainable agriculture

M El Jarroudi, L Kouadio, P Delfosse, CH Bock… - Nature …, 2024 - nature.com
Effectively feeding a burgeoning world population is one of the main goals of sustainable
agricultural practices. Digital technology, such as edge artificial intelligence (AI), has the …

Toxicological assessment of divalent ion-modified ZnO nanomaterials through artificial intelligence and in vivo study

K Chandrasekaran, V Kakani, V Kokkarachedu… - Aquatic Toxicology, 2024 - Elsevier
The nanotechnology-driven industrial revolution widely relies on metal oxide-based
nanomaterial (NM). Zinc oxide (ZnO) production has rapidly increased globally due to its …

New trends in the development and application of artificial intelligence in food processing

R Barthwal, D Kathuria, S Joshi, RSS Kaler… - Innovative Food Science …, 2024 - Elsevier
Food plays a significant role in human existence. It is necessary to reduce food wastage,
and enhance both food management and safety protocols. The growing prevalence and …