Results 1 to 10 of about 433,346 (276)

Modelling Soluble Solids Content Accumulation in ‘Braeburn’ Apples [PDF]

Plants, 2021
Optical sensor data can be used to determine changes in anthocyanins, chlorophyll and soluble solids content (SSC) in apple production. In this study, visible and near-infrared spectra (729 to 975 nm) were transformed to SSC values by advanced ...
Konni Biegert, Daniel Stöckeler, Roy J. McCormick, Peter Braun   +3 more
doaj   +8 more sources

Consensual Regression of Soluble Solids Content in Peach by Near Infrared Spectrocopy. [PDF]

Foods, 2022
In order to reduce the uncertainty of the genetic algorithm (GA) in optimizing the near-infrared spectral calibration model and avoid the loss of spectral information of the unselected variables, a strategy of fusing consensus models is proposed to measure the soluble solids content (SSC) in peaches.
Yuan LM, You L, Yang X, Chen X, Huang G, Chen X, Shi W, Sun Y.   +7 more
europepmc   +5 more sources

Deep Learning and Hyperspectral Images Based Tomato Soluble Solids Content and Firmness Estimation. [PDF]

Front Plant Sci, 2022
Cherry tomato (Solanum lycopersicum) is popular with consumers over the world due to its special flavor. Soluble solids content (SSC) and firmness are two key metrics for evaluating the product qualities. In this work, we develop non-destructive testing techniques for SSC and fruit firmness based on hyperspectral images and the corresponding deep ...
Xiang Y, Chen Q, Su Z, Zhang L, Chen Z, Zhou G, Yao Z, Xuan Q, Cheng Y.   +8 more
europepmc   +6 more sources

Multi-environment genomic prediction for soluble solids content in peach (Prunus persica) [PDF]

Frontiers in Plant Science, 2022
Genotype-by-environment interaction (G × E) is a common phenomenon influencing genetic improvement in plants, and a good understanding of this phenomenon is important for breeding and cultivar deployment strategies.
Craig M. Hardner, Mulusew Fikere, Ksenija Gasic, Cassia da Silva Linge, Margaret Worthington, David Byrne, Zena Rawandoozi, Cameron Peace   +7 more
doaj   +4 more sources

Hyperspectral Imaging with Machine Learning Approaches for Assessing Soluble Solids Content of Tribute Citru. [PDF]

Foods, 2023
Tribute Citru is a natural citrus hybrid with plenty of vitamins and nutrients. Fruits’ soluble solids content (SSC) is a critical quality index. This study used hyperspectral imaging at two spectral ranges (400–1000 nm and 900–1700 nm) to determine SSC ...
Li C, He M, Cai Z, Qi H, Zhang J, Zhang C.   +5 more
europepmc   +2 more sources

Investigating Changes in pH and Soluble Solids Content of Potato during the Storage by Electronic Nose and Vis/NIR Spectroscopy. [PDF]

Foods, 2022
Potato is an important agricultural product, ranked as the fourth most common product in the human diet. Potato can be consumed in various forms. As customers expect safe and high-quality products, precise and rapid determination of the quality and ...
Khorramifar A, Sharabiani VR, Karami H, Kisalaei A, Lozano J, Rusinek R, Gancarz M.   +6 more
europepmc   +2 more sources

Calibration of Near Infrared Spectroscopy of Apples with Different Fruit Sizes to Improve Soluble Solids Content Model Performance. [PDF]

Foods, 2022
The transmission spectrum of apples is affected by the fruit’s size, which leads to poor prediction performance of the soluble solids content (SSC) models built for their different apple sizes.
Jiang X, Zhu M, Yao J, Zhang Y, Liu Y.
europepmc   +2 more sources

Determination of the Soluble Solids Content in Korla Fragrant Pears Based on Visible and Near-Infrared Spectroscopy Combined With Model Analysis and Variable Selection. [PDF]

Front Plant Sci, 2022
The non-destructive detection of soluble solids content (SSC) in fruit by near-infrared (NIR) spectroscopy has a good application prospect. At present, the application of portable devices is more common.
Yang X, Zhu L, Huang X, Zhang Q, Li S, Chen Q, Wang Z, Li J.   +7 more
europepmc   +2 more sources

Application of Hyperspectral Imaging for Maturity and Soluble Solids Content Determination of Strawberry With Deep Learning Approaches. [PDF]

Front Plant Sci, 2021
Maturity degree and quality evaluation are important for strawberry harvest, trade, and consumption. Deep learning has been an efficient artificial intelligence tool for food and agro-products. Hyperspectral imaging coupled with deep learning was applied
Su Z, Zhang C, Yan T, Zhu J, Zeng Y, Lu X, Gao P, Feng L, He L, Fan L.   +9 more
europepmc   +2 more sources

Near Infrared Spectral Linearisation in Quantifying Soluble Solids Content of Intact Carambola [PDF]

Sensors, 2013
This study presents a novel application of near infrared (NIR) spectral linearisation for measuring the soluble solids content (SSC) of carambola fruits. NIR spectra were measured using reflectance and interactance methods.
Mohd Zubir MatJafri, Ahmad Fairuz Omar
doaj   +3 more sources