Implementation of relevant fourth industrial revolution innovations across the supply chain of fruits and vegetables: A short update on Traceability 4.0

A Hassoun, S Kamiloglu, G Garcia-Garcia… - Food Chemistry, 2023 - Elsevier
Food Traceability 4.0 refers to the application of fourth industrial revolution (or Industry 4.0)
technologies to ensure food authenticity, safety, and high food quality. Growing interest in …

Multiclass classification of dry beans using computer vision and machine learning techniques

M Koklu, IA Ozkan - Computers and Electronics in Agriculture, 2020 - Elsevier
There is a wide range of genetic diversity of dry bean which is the most produced one
among the edible legume crops in the world. Seed quality is definitely influential in crop …

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 …

Potential role of cell wall pectin polysaccharides, water state, and cellular structure on twice “increase–decrease” texture changes during kohlrabi pickling process

Z Yang, H Fan, R Li, B Li, J Fan, J Ge, X Xu… - Food Research …, 2023 - Elsevier
Pickled kohlrabi is a traditional and favored vegetable product in China. During pickling, the
hardness, springiness, and chewiness of kohlrabi all experienced a typical change with …

[HTML][HTML] Comparison of multiclass classification techniques using dry bean dataset

MS Khan, TD Nath, MM Hossain, A Mukherjee… - International Journal of …, 2023 - Elsevier
Background The application of classsification methods through multivariate and machine
learning techniques has enormous significance in agricultural sector. It is vital to classify …

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 …

Deep and machine learning using SEM, FTIR, and texture analysis to detect polysaccharide in raspberry powders

K Przybył, K Koszela, F Adamski, K Samborska… - Sensors, 2021 - mdpi.com
In the paper, an attempt was made to use methods of artificial neural networks (ANN) and
Fourier transform infrared spectroscopy (FTIR) to identify raspberry powders that are …

Modeling and develo** a smart interface for various drying methods of pomelo fruit (Citrus maxima) peel using machine learning approaches

İ Kırbaş, AD Tuncer, C Şirin, H Usta - Computers and Electronics in …, 2019 - Elsevier
Freeze-drying is a method used for valuable and heat-sensitive products, ensuring that the
product features are best protected. In this study, the pomelo fruit (Citrus maxima) peel …

Predicting fruit's sweetness using artificial intelligence—case study: Orange

MAJ Al-Sammarraie, Ł Gierz, K Przybył, K Koszela… - Applied Sciences, 2022 - mdpi.com
The manual classification of oranges according to their ripeness or flavor takes a long time;
furthermore, the classification of ripeness or sweetness by the intensity of the fruit's color is …

Artificial neural networks in the evaluation of the influence of the type and content of carrier on selected quality parameters of spray dried raspberry powders

K Przybył, K Samborska, K Koszela, L Masewicz… - Measurement, 2021 - Elsevier
In the paper an attempt was made to evaluate influence of type (maltodextrin, gum Arabic
and inulin) and content (50, 60, 70% solids) of carrier on quality of raspberry powders. The …