Use of steady-state imaging setup for assessing the internal optical properties of non-spherical apple samples
- 1 February 2019
- journal article
- research article
- Published by Elsevier in Computers and Electronics in Agriculture
- Vol. 157, 181-188
Abstract
No abstract availableKeywords
Funding Information
- Regional Council of Pays de la Loire
- AI fruit Project
This publication has 34 references indexed in Scilit:
- Monte Carlo simulation for quantification of light transport features in applesComputers and Electronics in Agriculture, 2009
- Measurement of the optical properties of fruits and vegetables using spatially resolved hyperspectral diffuse reflectance imaging techniquePostharvest Biology and Technology, 2008
- Non-destructive analyses of apple quality parameters by means of laser-induced light backscattering imagingPostharvest Biology and Technology, 2008
- Analysis of spatially resolved hyperspectral scattering images for assessing apple fruit firmness and soluble solids contentPostharvest Biology and Technology, 2008
- Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A reviewPostharvest Biology and Technology, 2007
- Prediction of apple fruit firmness and soluble solids content using characteristics of multispectral scattering imagesJournal of Food Engineering, 2007
- Light distribution inside mandarin fruit during internal quality assessment by NIR spectroscopyPostharvest Biology and Technology, 2003
- Reflectance spectral features and non-destructive estimation of chlorophyll, carotenoid and anthocyanin content in apple fruitPostharvest Biology and Technology, 2003
- Time-Resolved Reflectance Spectroscopy Applied to the Nondestructive Monitoring of the Internal Optical Properties in ApplesApplied Spectroscopy, 2001
- A review of the optical properties of biological tissuesIEEE Journal of Quantum Electronics, 1990