Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices

Y Liu, H Pu, DW Sun - Trends in Food Science & Technology, 2021 - Elsevier
Background The development of techniques and methods for rapidly and reliably detecting
and analysing food quality and safety products is of significance for the food industry …

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 …

Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near …

C Zhang, W Wu, L Zhou, H Cheng, X Ye, Y He - Food chemistry, 2020 - Elsevier
Black goji berry (Lycium ruthenicum Murr.) has great commercial and nutritional values.
Near-infrared hyperspectral imaging (NIR-HSI) was used to determine total phenolics, total …

Intelligent food processing: Journey from artificial neural network to deep learning

J Nayak, K Vakula, P Dinesh, B Naik, D Pelusi - Computer Science Review, 2020 - Elsevier
Since its initiation, ANN became popular and also plays a key role in enhancing the latest
technology. With an increase in industrial automation and the Internet of Things, now it is …

Advances in machine learning and hyperspectral imaging in the food supply chain

Z Kang, Y Zhao, L Chen, Y Guo, Q Mu… - Food Engineering …, 2022 - Springer
Food quality and safety are the essential hot issues of social concern. In recent years, there
has been a growing demand for real-time food information, and non-destructive testing is …

[HTML][HTML] Valuing the diversity of research methods to advance nutrition science

RD Mattes, SB Rowe, SD Ohlhorst, AW Brown… - Advances in …, 2022 - Elsevier
ABSTRACT The ASN Board of Directors appointed the Nutrition Research Task Force to
develop a report on scientific methods used in nutrition science to advance discovery …

Developing deep learning based regression approaches for prediction of firmness and pH in Kyoho grape using Vis/NIR hyperspectral imaging

M Xu, J Sun, K Yao, Q Cai, J Shen, Y Tian… - Infrared Physics & …, 2022 - Elsevier
Firmness and pH, the most important quality attributes of grapes, are directly associated with
their quality and price. This study aimed to predict firmness and pH of Kyoho grape using …

Advances in infrared spectroscopy combined with artificial neural network for the authentication and traceability of food

N Liang, S Sun, C Zhang, Y He… - Critical Reviews in Food …, 2022 - Taylor & Francis
The authentication and traceability of food attract more attention due to the increasing
consumer awareness regarding nutrition and health, being a new hotspot of food science …

Deep learning-based near-infrared hyperspectral imaging for food nutrition estimation

T Li, W Wei, S Xing, W Min, C Zhang, S Jiang - Foods, 2023 - mdpi.com
The limited nutritional information provided by external food representations has constrained
the further development of food nutrition estimation. Near-infrared hyperspectral imaging …

Utilisation of deep learning with multimodal data fusion for determination of pineapple quality using thermal imaging

M Mohd Ali, N Hashim, S Abd Aziz, O Lasekan - Agronomy, 2023 - mdpi.com
Fruit quality is an important aspect in determining the consumer preference in the supply
chain. Thermal imaging was used to determine different pineapple varieties according to the …