Taking the leap between analytical chemistry and artificial intelligence: A tutorial review

LB Ayres, FJV Gomez, JR Linton, MF Silva… - Analytica Chimica …, 2021 - Elsevier
The last 10 years have witnessed the growth of artificial intelligence into different research
areas, emerging as a vibrant discipline with the capacity to process large amounts of …

Promising perspectives on novel protein food sources combining artificial intelligence and 3D food printing for food industry

MG Bedoya, DR Montoya, G Tabilo-Munizaga… - Trends in Food Science …, 2022 - Elsevier
Background Novel food matrices with high protein content and biological value, good amino
acid profile, and functionality based on algae, insects, plants, fungi, and microbial proteins …

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 …

Trends in digital image processing of isolated microalgae by incorporating classification algorithm

JWR Chong, KS Khoo, KW Chew, HY Ting… - Biotechnology …, 2023 - Elsevier
Identification of microalgae species is of importance due to the uprising of harmful algae
blooms affecting both the aquatic habitat and human health. Despite this occurence …

Comprehensive study on applications of artificial neural network in food process modeling

GVS Bhagya Raj, KK Dash - Critical reviews in food science and …, 2022 - Taylor & Francis
Artificial neural network (ANN) is a simplified model of the biological nervous system
consisting of nerve cells or neurons. The application of ANN to food process engineering is …

Prediction of date fruit quality attributes during cold storage based on their electrical properties using artificial neural networks models

M Mohammed, M Munir, A Aljabr - Foods, 2022 - mdpi.com
Evaluating and predicting date fruit quality during cold storage is critical for ensuring a
steady supply of high-quality fruits to meet market demands. The traditional destructive …

Artificial intelligence in agricultural value chain: review and future directions

C Ganeshkumar, SK Jena, A Sivakumar… - … of Agribusiness in …, 2023 - emerald.com
Purpose This paper is a literature review on use of artificial intelligence (AI) among
agricultural value chain (AVC) actors, and it brings out gaps in research in this area and …

Sensing technology for fish freshness and safety: A review

L Franceschelli, A Berardinelli, S Dabbou, L Ragni… - Sensors, 2021 - mdpi.com
Standard analytical methods for fish freshness assessment are based on the measurement
of chemical and physical attributes related to fish appearance, color, meat elasticity or …

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 …

A comprehensive review of mathematical modeling for drying processes of fruits and vegetables

F Akter, R Muhury, A Sultana… - International Journal of …, 2022 - Wiley Online Library
Drying fruits and vegetables is a procedure of food preservation with simultaneous heat,
mass, and momentum transfer, which increases the shelf life of the food product. The aim of …