Results 291 to 300 of about 452,157 (327)

Detection model transfer of apple soluble solids content based on NIR spectroscopy and deep learning

Computers and Electronics in Agriculture, 2023
Zhiming Guo, Yiyin Zhang, Junyi Wang, Yuanyuan Liu, Heera Jayan, H. El-Seedi, S. Alzamora, Paula L. Gómez, Xiaobo Zou   +8 more
semanticscholar   +1 more source

Hyperspectral imaging-based detection of soluble solids content of loquat from a small sample

Postharvest Biology and Technology, 2023
Siyi Li, Qiming Song, Yongjie Liu, Taiheng Zeng, Shiyang Liu, Dengfei Jie, Xuan Wei   +6 more
semanticscholar   +1 more source

Optical properties combined with convolutional neural networks to predict soluble solids content of peach

Journal of Food Measurement & Characterization, 2023
Yan‐de Liu, Yuxu Huo, Guantian Wang, Xiong Li   +3 more
semanticscholar   +1 more source

A novel noninvasive and cost-effective handheld detector on soluble solids content of fruits

Journal of Food Engineering, 2019
Soluble solids content (SSC) is an important parameter for determining sweetness, maturity, and price of fruits. A fast, noninvasive, and cost-effective portable SSC detector is appreciated by fruit planters, processers, sellers, and consumers. The study
Wenchuan Guo, Weiqiang Li, Biao Yang, Zhuozhuo Zhu, Dayang Liu, Xinhua Zhu   +5 more
semanticscholar   +1 more source

Nondestructive Measurement of Soluble Solids Content in Apples by a Portable Fruit Analyzer

Food Analytical Methods, 2015
Feasibility studies of using a portable fiber spectrometer in conjunction with multivariate and variable screening analysis were investigated for noninvasive inspection of the internal quality of fruit. A highly effective illumination with circular reflective accessories was designed to reflect the divergent light of the lamps onto the sample.
Lei-ming Yuan, Jian-rong Cai, Li Sun, En Han, Teye Ernest   +4 more
openaire   +1 more source

Hyperspectral image information fusion-based detection of soluble solids content in red globe grapes

Computers and Electronics in Agriculture, 2022
Sheng Gao, Jian-hua Xu
semanticscholar   +1 more source

Optimization of soluble solids content prediction models in ‘Hami’ melons by means of Vis-NIR spectroscopy and chemometric tools

Infrared physics & technology, 2019
Nondestructive assessment of internal quality in fruit with thick rind and large size was always a challenge in terms of the fruit quality automatic grading application.
Rong Hu, Lixin Zhang, Zhiyuan Yu, Zhiqiang Zhai, Ruoyu Zhang   +4 more
semanticscholar   +1 more source

NIR-BASED SENSING TO MEASURE SOLUBLE SOLIDS CONTENT OF FLORIDA CITRUS

Applied Engineering in Agriculture, 2004
A test program was undertaken to assess the accuracy of near infrared (NIR) technologies to measure Soluble Solids Content (SSC) of intact Florida grapefruit and Honey tangerines. Two units were utilized: (1) an on-line prototype unit (Mitsui QScope, New York, N.Y.) and (2) a hand-held unit developed for fresh fruit quality assessment (Inst. of Agric.
null W. M. Miller, null M. Zude-Sasse
openaire   +1 more source

Effect of spectral measurement orientation on online prediction of soluble solids content of apple using Vis/NIR diffuse reflectance

Infrared physics & technology, 2019
The effect of variation of fruit orientation on online prediction of soluble solids content (SSC) of ‘Fuji’ apples based on visible and near-infrared (Vis/NIR) spectroscopy was studied.
Yu Xia, Wenqian Huang, Shuxiang Fan, Jiangbo Li, Liping Chen   +4 more
semanticscholar   +1 more source

A multi-region combined model for non-destructive prediction of soluble solids content in apple, based on brightness grade segmentation of hyperspectral imaging

Biosystems Engineering, 2019
On-line estimation of fruit internal attributes based on visible-near infrared spectrum is an effective approach for improving fruit value and farmer income.
X. Tian, Jiangbo Li, Qingyan Wang, Shuxiang Fan, Wenqian Huang, Chunjiang Zhao   +5 more
semanticscholar   +1 more source