Journal ArticleDOI
Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry
TLDR
In this paper, a multivariate calibration technique was used for the determination of moisture content (MC), total soluble solids (TSS), and acidity (expressed as pH) in strawberry images.About:
This article is published in Journal of Food Engineering.The article was published on 2007-07-01. It has received 413 citations till now. The article focuses on the topics: Partial least squares regression.read more
Citations
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Journal ArticleDOI
Hyperspectral imaging – an emerging process analytical tool for food quality and safety control
TL;DR: HSI equipment, image acquisition and processing are described; current limitations and likely future applications are discussed; and recent advances in the application of HSI to food safety and quality assessment are reviewed.
Journal ArticleDOI
Plant Disease Detection by Imaging Sensors - Parallels and Specific Demands for Precision Agriculture and Plant Phenotyping.
TL;DR: The most relevant areas of application of sensor-based analyses are precision agriculture and plant phenotyping as discussed by the authors, which is facilitated by highly sophisticated and innovative methods of data analysis that lead to new insights derived from sensor data for complex plant-pathogen systems.
Journal ArticleDOI
Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications
Di Wu,Da-Wen Sun +1 more
TL;DR: It is evident that hyperspectral imaging can automate a variety of routine inspection tasks and is anticipated that real-time food monitoring systems with this technique can be expected to meet the requirements of the modern industrial control and sorting systems in the near future.
Journal ArticleDOI
Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment
D. Lorente,Nuria Aleixos,Juan Gómez-Sanchis,Sergio Cubero,Oscar Leonardo García-Navarrete,José Blasco +5 more
TL;DR: The different technologies available to acquire the images and their use for the non-destructive inspection of the internal and external features of these products are explained, with details of the statistical techniques most commonly used for this task.
Journal ArticleDOI
LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements
Roshanak Darvishzadeh,Andrew K. Skidmore,Martin Schlerf,Clement Atzberger,F. Corsi,Moses Azong Cho +5 more
TL;DR: In this paper, the utility of univariate techniques involving narrow band vegetation indices and the red edge inflection point, as well as multivariate calibration techniques, including stepwise multiple linear regression and partial least squares regression, was evaluated in a heterogeneous Mediterranean grassland from spectral reflectance measurements.
References
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Journal ArticleDOI
Partial least-squares regression: a tutorial
Paul Geladi,Bruce R. Kowalski +1 more
TL;DR: In this paper, a tutorial on the Partial Least Squares (PLS) regression method is provided, and an algorithm for a predictive PLS and some practical hints for its use are given.
Journal ArticleDOI
Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information
TL;DR: Partial least squares (PLS) as discussed by the authors is one of the most popular spectral analysis methods for spectral analysis, which is composed of a series of simpllfled classical least-squares (CLS) and ILS steps.
Book
Near-Infrared Technology: In the Agricultural and Food Industries
Phil Williams,K. H. Norris +1 more
Journal ArticleDOI
Performance of some variable selection methods when multicollinearity is present
Il-Gyo Chong,Chi-Hyuck Jun +1 more
TL;DR: The nature of the VIP method is explored and it is compared with other methods through computer simulation experiments considering four factors–the proportion of the number of relevant predictor, the magnitude of correlations between predictors, the structure of regression coefficients, andThe magnitude of signal to noise.
Journal ArticleDOI
Image texture analysis: methods and comparisons
TL;DR: An overview of several different approaches to image texture analysis is provided and insight into their space/frequency decomposition behavior is used to show why they are generally considered to be state of the art in texture analysis.