Near-infrared hyperspectral imaging for determination of protein content in barley samples using convolutional neural network

T Singh, NM Garg, SRS Iyengar, V Singh - Journal of Food Measurement …, 2023 - Springer
The protein content is an essential quality parameter that is measured by the breeding
programs and food industries to maintain high-quality standards for barley. The traditional …

Variable selection methods to determine protein content in paddy using near-infrared hyperspectral imaging

J Zhang, Z Guo, Z Ren, S Wang, M Yue… - Journal of Food …, 2023 - Springer
The crude protein content is critical to quality assessment when screening for nutrients, taste
quality and commercial value. Thus, this study performed a non-destructive and rapid …

A non-destructive determination of protein content in potato flour noodles using near-infrared hyperspectral imaging technology

J Zhang, Z Guo, Z Ren, S Wang, X Yin, D Zhang… - Infrared Physics & …, 2023 - Elsevier
Hyperspectral imaging (HSI) with the near-infrared (NIR) bands (900–2250 nm) was
employed to investigate the non-destructive prediction of protein content in potato flour …

Predicting wheat kernels' protein content by near infrared hyperspectral imaging

Y Shuqin, H Dongjian, N Jifeng - International Journal of Agricultural and …, 2016 - ijabe.org
The objective of this study was to explore the potential of near infrared hyperspectral
imaging combined with statistical regression models and neural networks for nondestructive …

[HTML][HTML] Rapid and non-destructive prediction of protein content in peanut varieties using near-infrared hyperspectral imaging method

W Yijie, J CHENG - Grain & Oil Science and Technology, 2018 - Elsevier
This study was undertaken to investigate the feasibility of near-infrared (NIR) hyperspectral
imaging (1 000–2 500 nm) for non-destructive and quantitative prediction of protein content …

Non-destructive prediction of protein contents of soybean seeds using near-infrared hyperspectral imaging

R Aulia, Y Kim, HZ Amanah, AMA Andi, H Kim… - Infrared Physics & …, 2022 - Elsevier
Protein content is one of the most crucial factors in soybean quality. However, the breeding
procedure necessitates the time-consuming and costly selection of elite genotypes from …

Protein content evaluation of processed pork meats based on a novel single shot (snapshot) hyperspectral imaging sensor

J Ma, DW Sun, H Pu, Q Wei, X Wang - Journal of food engineering, 2019 - Elsevier
Protein is an important nutrient for people diet, and protein content is one of the most vital
properties in quality assessment of pork meat. The potential of line-scanning based …

Developing a NIR multispectral imaging for prediction and visualization of peanut protein content using variable selection algorithms

JH Cheng, H Jin, Z Liu - Infrared Physics & Technology, 2018 - Elsevier
The feasibility of developing a multispectral imaging method using important wavelengths
from hyperspectral images selected by genetic algorithm (GA), successive projection …

Application of near-infrared hyperspectral imaging coupled with chemometrics for rapid and non-destructive prediction of protein content in single chickpea seed

D Saha, T Senthilkumar, S Sharma, CB Singh… - Journal of Food …, 2023 - Elsevier
Evaluating the protein content of a single chickpea seed in a rapid, non-destructive, and
precise manner is crucial for facilitating the breeding of high-protein chickpeas. This study …

The rapid non-destructive detection of the protein and fat contents of sorghum based on hyperspectral imaging

X Fei, X Jiang, Y Lei, J Tian, X Hu, Y Bu, D Huang… - Food Analytical …, 2023 - Springer
The protein and fat contents are important indicators for the quality evaluation of brewing
sorghum, and a rapid and non-destructive testing method is urgently required to accurately …