Imaging spectroscopy and machine learning for intelligent determination of potato and sweet potato quality

WH Su, H Xue - Foods, 2021 - mdpi.com
Imaging spectroscopy has emerged as a reliable analytical method for effectively
characterizing and quantifying quality attributes of agricultural products. By providing …

Recent developments in vibrational spectral analyses for dynamically assessing and monitoring food dehydration processes

Y Ren, X Lin, T Lei, DW Sun - Critical reviews in food science and …, 2022 - Taylor & Francis
Dehydration is one of the most widely used food processing techniques, which is
sophisticated in nature. Rapid and accurate prediction of dehydration performance and its …

Vis-NIR hyperspectral imaging along with Gaussian process regression to monitor quality attributes of apple slices during drying

A Arefi, B Sturm, G von Gersdorff, A Nasirahmadi… - Lwt, 2021 - Elsevier
Abstract Hyperspectral images (400–1700 nm) of apple slices during the hot-air drying were
acquired. The fusion of spectral data and Gaussian Process Regression (GPR) successfully …

Monitoring the hot-air drying process of organically grown apples (cv. Gala) using computer vision

F Raponi, R Moscetti, SSN Chakravartula… - Biosystems …, 2022 - Elsevier
The feasibility of using a computer-vision (CV) system embedded in a hot-air dryer for non-
destructive and real-time monitoring of the drying behaviour of organic apples was …

[HTML][HTML] Computer vision-based smart monitoring and control system for food drying: A study on carrot slices

SSN Chakravartula, A Bandiera, M Nardella… - … and Electronics in …, 2023 - Elsevier
Convective dryer embedded with computer vision (CV) system and load cell was used to
continuously monitor carrot slices that are either unblanched or blanched (90° C for 2 min) …

Rapid screen of the color and water content of fresh-cut potato tuber slices using hyperspectral imaging coupled with multivariate analysis

Q Xiao, X Bai, Y He - Foods, 2020 - mdpi.com
Color index and water content are important indicators for evaluating the quality of fresh-cut
potato tuber slices. In this study, hyperspectral imaging combined with multivariate analysis …

[HTML][HTML] Comparative analysis of methods and model prediction performance evaluation for continuous online non-invasive quality assessment during drying of …

L Shrestha, SOJ Crichton, B Kulig, B Kiesel… - Thermal Science and …, 2020 - Elsevier
Quality attributes such as moisture content, colour parameters and shrinkage of apples
change undesirably during the drying process. Drying is a highly dynamic process, thus, an …

A review of the use of Near-Infrared Hyperspectral Imaging (NIR-HSI) techniques for the non-destructive quality assessment of root and tuber crops

M Adesokan, EO Alamu, B Otegbayo, B Maziya-Dixon - Applied Sciences, 2023 - mdpi.com
Hyperspectral imaging (HSI) is one of the most often used techniques for rapid quality
evaluation for various applications. It is a non-destructive technique that effectively evaluates …

Advanced analysis of roots and tubers by hyperspectral techniques

WH Su, DW Sun - Advances in food and nutrition research, 2019 - Elsevier
Hyperspectral techniques in terms of spectroscopy and hyperspectral imaging have become
reliable analytical tools to effectively describe quality attributes of roots and tubers (such as …

A Systematized Review on the Applications of Hyperspectral Imaging for Quality Control of Potatoes

CM Peraza-Alemán, A López-Maestresalas, C Jarén… - Potato Research, 2024 - Springer
The application of hyperspectral imaging (HSI) has gained significant importance in the past
decade, particulary in the context of food analysis, including potatoes. However, the current …