A research review on deep learning combined with hyperspectral Imaging in multiscale agricultural sensing

L Shuai, Z Li, Z Chen, D Luo, J Mu - Computers and Electronics in …, 2024‏ - Elsevier
Efficient and automated data acquisition techniques, as well as intelligent and accurate data
processing and analysis techniques, are essential for the advancement of precision …

Innovative non-destructive technologies for quality monitoring of pineapples: Recent advances and applications

MM Ali, N Hashim, SK Bejo, M Jahari… - Trends in Food Science …, 2023‏ - Elsevier
Background Pineapples are important tropical fruits which serve as a vital source of minerals
and have excellent nutritional composition. The quality evaluation of pineapple is an …

Identification of geographical origins of Radix Paeoniae Alba using hyperspectral imaging with deep learning-based fusion approaches

Z Cai, Z Huang, M He, C Li, H Qi, J Peng, F Zhou… - Food chemistry, 2023‏ - Elsevier
Abstract The Radix Paeoniae Alba (Baishao) is a traditional Chinese medicine (TCM) with
numerous clinical and nutritional benefits. Rapid and accurate identification of the …

Direct identification and quantitation of protein peptide powders based on multi-molecular infrared spectroscopy and multivariate data fusion

XW Lin, R Liu, S Wang, JW Yang, NP Tao… - Journal of Agricultural …, 2023‏ - ACS Publications
Given that protein peptide powders (PPPs) from different biological sources were inherited
with diverse healthcare functions, which aroused adulteration of PPPs. A high-throughput …

Exploring deep learning to predict coconut milk adulteration using FT-NIR and micro-NIR spectroscopy

A Sitorus, R Lapcharoensuk - Sensors, 2024‏ - mdpi.com
Accurately identifying adulterants in agriculture and food products is associated with
preventing food safety and commercial fraud activities. However, a rapid, accurate, and …

Nondestructive determination of edible quality and watercore degree of apples by portable Vis/NIR transmittance system combined with CARS-CNN

Z Guo, Y Zou, C Sun, H Jayan, S Jiang… - Journal of Food …, 2024‏ - Springer
Abstract Visible Near-infrared (Vis/NIR) transmittance spectroscopy has been employed to
evaluate various quality indicators of fruits, owing to the advantages of rapid non-destructive …

Influence of lighting pattern and sample positioning on detection of moldy core disease in apples by NIR spectroscopy

H Li, N **ao, T Sun, D Hu - Food and Bioprocess Technology, 2024‏ - Springer
To enhance the precision of detecting moldy core disease in apples, near-infrared (NIR)
spectroscopy was employed for quickly and non-destructive detection. The impact of lighting …

Advancing post-harvest fruit handling through AI-based thermal imaging: applications, challenges, and future trends

P Pathmanaban, BK Gnanavel, SS Anandan… - Discover Food, 2023‏ - Springer
Recent advancements in imaging, electronics, and computer science have engendered
significant progress in non-destructive testing and quality monitoring within the agro-food …

[HTML][HTML] Enhancing grain drying methods with hyperspectral imaging technology: A visualanalysis

S Yang, Y Cao, C Li, JM Castagnini, FJ Barba… - Current research in food …, 2024‏ - Elsevier
This study proposes a recognition model for different drying methods of grain using
hyperspectral imaging technology (HSI) and multivariate analysis. Fresh harvested grain …

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 …