Application of artificial intelligence in food industry—a guideline

NR Mavani, JM Ali, S Othman, MA Hussain… - Food Engineering …, 2022 - Springer
Artificial intelligence (AI) has embodied the recent technology in the food industry over the
past few decades due to the rising of food demands in line with the increasing of the world …

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 …

Effect of cold plasma processing on physicochemical and nutritional quality attributes of kiwifruit juice

S Kumar, S Pipliya, PP Srivastav - Journal of Food Science, 2023 - Wiley Online Library
Cold plasma treatment of kiwifruit juice was studied in the domain of 18–30 kV of voltage, 2–
6 mm of juice depth, and 6–10 min of treatment time using the response surface …

Microwave vacuum drying of dragon fruit slice: Artificial neural network modelling, genetic algorithm optimization, and kinetics study

GVSB Raj, KK Dash - Computers and Electronics in Agriculture, 2020 - Elsevier
Microwave vacuum drying of dragon fruit (Hylocereus undatus) slice was investigated in this
study and the drying process was modelled with the help of feed-forward back-propagation …

Producing non-traditional flour from watermelon rind pomace: Artificial neural network (ANN) modeling of the drying process

MP Fabani, JP Capossio, MC Román, W Zhu… - Journal of …, 2021 - Elsevier
An artificial neural network (ANN) model was developed to simulate the convective drying
process of watermelon rind pomace used in the fabrication of non-traditional flour. Also, the …

Optimised ANN and SVR models for online prediction of moisture content and temperature of lentil seeds in a microwave fluidised bed dryer

S Taheri, G Brodie, D Gupta - Computers and Electronics in Agriculture, 2021 - Elsevier
Online monitoring and control of the drying processes are necessary to maintain the final
products' quality attributes, especially when a microwave system is used to facilitate the …

Toward intelligent food drying: Integrating artificial intelligence into drying systems

SH Miraei Ashtiani, A Martynenko - Drying Technology, 2024 - Taylor & Francis
Artificial intelligence (AI) and its data-driven counterpart, machine learning (ML), are rapidly
evolving disciplines with increasing applications in modeling, simulation, control, and …

Applications MLP and other methods in artificial intelligence of fruit and vegetable in convective and spray drying

K Przybył, K Koszela - Applied Sciences, 2023 - mdpi.com
The seasonal nature of fruits and vegetables has an immense impact on the process of
seeking methods that allow extending the shelf life in this category of food. It is observed that …

Applications of orthogonal polynomials in simulations of mass transfer diffusion equation arising in food engineering

I Ali, MT Saleem - Symmetry, 2023 - mdpi.com
In this paper, Chebyshev polynomials—which are ultraspherical in the first and second kind
and hence symmetric, while the third and fourth order are not ultraspherical and are hence …

Artificial neural network modelling approach of drying kinetics evolution for hot air oven, microwave, microwave convective and freeze dried pineapple

T Sarkar, M Salauddin, SK Hazra, R Chakraborty - SN Applied Sciences, 2020 - Springer
This study presents the dehydration characteristics of the drying of the pineapple slice. Hot
air oven (60° C), microwave (100 W), microwave convective (600 W, 40° C) and freeze …