Visible/near-infrared Spectroscopy and Hyperspectral Imaging Facilitate the Rapid Determination of Soluble Solids Content in Fruits
Soluble solids content (SSC) is an essential internal quality attribute of fruits that directly
affects consumers' degree of satisfaction. The traditional determination method, the …
affects consumers' degree of satisfaction. The traditional determination method, the …
A 1D-inception-ResNet based global detection model for thin-skinned multifruit spectral quantitative analysis
Y Yu, J Huang, L Wang, S Liang - Food Control, 2025 - Elsevier
Near-infrared spectroscopy (NIRS) analysis technology has important research and
application value in the inspection of agricultural product quality due to its nondestructive …
application value in the inspection of agricultural product quality due to its nondestructive …
When convolutional neural networks meet laser-induced breakdown spectroscopy: End-to-end quantitative analysis modeling of ChemCam spectral data for major …
Modeling the quantitative relationship between target components and measured spectral
information is an essential part of laser-induced breakdown spectroscopy (LIBS) analysis …
information is an essential part of laser-induced breakdown spectroscopy (LIBS) analysis …
Online detection of moldy apple core based on diameter and SSC features
Z Hu, Y Pu, W Wu, L Pan, Y Yang, J Zhao - Food Control, 2025 - Elsevier
Moldy core is a common internal disease in apples, with current visible/near-infrared
(Vis/NIR) spectroscopy-based detection methods often suffering from inaccuracies due to …
(Vis/NIR) spectroscopy-based detection methods often suffering from inaccuracies due to …
When process analysis technology meets transfer learning: A model transfer strategy between different spectrometers for quantitative analysis
With the increase in the number of types of spectrometers in use, calibration models cannot
be shared among different instruments; however, this problem can be solved via calibration …
be shared among different instruments; however, this problem can be solved via calibration …
[HTML][HTML] Evaluating Soluble Solids in White Strawberries: A Comparative Analysis of Vis-NIR and NIR Spectroscopy
H Seki, H Murakami, T Ma, S Tsuchikawa, T Inagaki - Foods, 2024 - mdpi.com
In recent years, due to breeding improvements, strawberries with low anthocyanin content
and a white rind are now available, and they are highly valued in the market. Strawberries …
and a white rind are now available, and they are highly valued in the market. Strawberries …
Identifying the “Dangshan” Physiological Disease of Pear Woolliness Response via Feature-Level Fusion of Near-Infrared Spectroscopy and Visual RGB Image
Y Chen, L Liu, Y Rao, X Zhang, W Zhang, X ** - Foods, 2023 - mdpi.com
The “Dangshan” pear woolliness response is a physiological disease that causes large
losses for fruit farmers and nutrient inadequacies. The cause of this disease is …
losses for fruit farmers and nutrient inadequacies. The cause of this disease is …
A review of self-compacting concrete incorporating waste materials
As environmental concerns gain prominence worldwide, the significance of sustainable
building practices cannot be understated. The burgeoning production of waste annually …
building practices cannot be understated. The burgeoning production of waste annually …
KUNet-An Optimized AI based Bengali Sign Language Translator for Deaf and Dumb People
Sign language is the most prevalent form of communication among people with speech and
hearing disabilities. The most widely used types of sign language involve the creation of …
hearing disabilities. The most widely used types of sign language involve the creation of …
Exploring Multimodal Nonverbal Functional Features for Predicting the Subjective Impressions of Interlocutors
This paper proposes models for predicting the subjective impressions of interlocutors in
discussions according to multimodal nonverbal behaviors. To that end, we focus mainly on …
discussions according to multimodal nonverbal behaviors. To that end, we focus mainly on …