The fourth industrial revolution in the food industry—Part I: Industry 4.0 technologies

A Hassoun, A Aït-Kaddour… - Critical Reviews in …, 2023 - Taylor & Francis
Climate change, the growth in world population, high levels of food waste and food loss, and
the risk of new disease or pandemic outbreaks are examples of the many challenges that …

Flexible sensing enabled agri-food cold chain quality control: A review of mechanism analysis, emerging applications, and system integration

W Huang, X Wang, J Xia, Y Li, L Zhang, H Feng… - Trends in Food Science …, 2023 - Elsevier
Background Traditional silicon-based sensors provide a viable solution for packaging,
detection, and quality control of agri-food in the cold chain. However, the limitations such as …

Applications of hyperspectral imaging in plant phenotyping

R Sarić, VD Nguyen, T Burge, O Berkowitz… - Trends in plant …, 2022 - cell.com
Our ability to interrogate and manipulate the genome far exceeds our capacity to measure
the effects of genetic changes on plant traits. Much effort has been made recently by the …

Food quality 4.0: From traditional approaches to digitalized automated analysis

A Hassoun, S Jagtap, G Garcia-Garcia… - Journal of Food …, 2023 - Elsevier
Food quality has recently received considerable attention from governments, researchers,
and consumers due to the increasing demand for healthier and more nutritious food …

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 …

Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances

E Omia, H Bae, E Park, MS Kim, I Baek, I Kabenge… - Remote Sensing, 2023 - mdpi.com
The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …

Applications of machine learning techniques for enhancing nondestructive food quality and safety detection

Y Lin, J Ma, Q Wang, DW Sun - Critical Reviews in Food Science …, 2023 - Taylor & Francis
In considering the need of people all over the world for high-quality food, there has been a
recent increase in interest in the role of nondestructive and rapid detection technologies in …

Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions

MA Moharram, DM Sundaram - Neurocomputing, 2023 - Elsevier
Recently, many efforts have been concentrated on land use land cover (LULC) classification
due to rapid urbanization, environmental pollution, agriculture drought, frequent floods, and …

Food processing 4.0: Current and future developments spurred by the fourth industrial revolution

A Hassoun, S Jagtap, H Trollman, G Garcia-Garcia… - Food Control, 2023 - Elsevier
Abstract “Food processing 4.0” concept denotes processing food in the current digital era by
harnessing fourth industrial revolution (called Industry 4.0) technologies to improve quality …

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 …