Predicting internal quality parameters of individual pieces of intact oranges using hyperspectral images

2020 ◽  
Author(s):  
Cecilia Riccioli ◽  
Ana Garrido-Varo ◽  
José E. Guerrero-Ginel ◽  
Dolores C. Pérez-Marín
Keyword(s):  
Quality Parameters ◽  
Hyperspectral Images ◽  
Internal Quality

Development of the sugar beet quality in the Netherlands since 1980 and introduction of invert sugar as a new parameter for beet quality assessment

2015 ◽  
pp. 95-103 ◽  
Author(s):  
Dirk P. Vermeulen
Keyword(s):  
The Netherlands ◽  
Sugar Beet ◽  
Quality Assessment ◽  
Sugar Content ◽  
Quality Parameters ◽  
Invert Sugar ◽  
Internal Quality ◽  
Glucose Content ◽  
Thick Juice ◽  
Trial Phase

The technological beet quality has been always important for the processors of sugar beet. An investigation into the development of the beet quality in the Netherlands since 1980 has shown that beet quality has improved significantly. Internal quality parameters that are traditionally determined in the beet laboratory, i.e. sugar content, Na, K and -aminoN, all show an improving trend over the years. In the factories, better beet quality has led to lower lime consumption in the juice purification and significantly higher thick juice purity. In 2013, Suiker Unie introduced the serial analysis of the glucose content in beet brei as part of the routine quality assessment of the beet. The invert sugar content is subsequently calculated from glucose content with a new correlation. The background, the trial phase and the first experiences with the glucose analyzer are discussed.

scholarly journals Quality Metrics Evaluation of Hyperspectral Images

2014 ◽  
Vol XL-8 ◽  
pp. 1221-1226 ◽  
Author(s):  
A. K. Singh ◽  
H. V. Kumar ◽  
G. R. Kadambi ◽  
J. K. Kishore ◽  
J. Shuttleworth ◽  
...  
Keyword(s):  
Hyperspectral Image ◽  
Signal To Noise Ratio ◽  
Principal Component ◽  
Quality Parameters ◽  
Quality Metrics ◽  
Hyperspectral Data ◽  
Hyperspectral Images ◽  
Error Ratio ◽  
Classified Image

In this paper, the quality metrics evaluation on hyperspectral images has been presented using k-means clustering and segmentation. After classification the assessment of similarity between original image and classified image is achieved by measurements of image quality parameters. Experiments were carried out on four different types of hyperspectral images. Aerial and spaceborne hyperspectral images with different spectral and geometric resolutions were considered for quality metrics evaluation. Principal Component Analysis (PCA) has been applied to reduce the dimensionality of hyperspectral data. PCA was ultimately used for reducing the number of effective variables resulting in reduced complexity in processing. In case of ordinary images a human viewer plays an important role in quality evaluation. Hyperspectral data are generally processed by automatic algorithms and hence cannot be viewed directly by human viewers. Therefore evaluating quality of classified image becomes even more significant. An elaborate comparison is made between k-means clustering and segmentation for all the images by taking Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), Maximum Squared Error, ratio of squared norms called L2RAT and Entropy. First four parameters are calculated by comparing the quality of original hyperspectral image and classified image. Entropy is a measure of uncertainty or randomness which is calculated for classified image. Proposed methodology can be used for assessing the performance of any hyperspectral image classification techniques.

scholarly journals Egg quality assessment at different storage conditions, seasons and laying hen strains

2017 ◽  
Vol 41 (3) ◽  
pp. 322-333 ◽  
Author(s):  
Vivian Feddern ◽  
Marina Celant De Prá ◽  
Rúbia Mores ◽  
Rodrigo da Silveira Nicoloso ◽  
Arlei Coldebella ◽  
...  
Keyword(s):  
Specific Gravity ◽  
Room Temperature ◽  
Egg Quality ◽  
Storage Period ◽  
Storage Conditions ◽  
Quality Parameters ◽  
Laying Hen ◽  
Unit Weight ◽  
Internal Quality ◽  
Haugh Unit

ABSTRACT Eggs are one of nearly perfect protein foods, offering nutrients of great biological value. However, during storage, egg albumen and yolk components may alter and deteriorate egg quality. Therefore, the aim of this work was to assess egg quality during 9-week storage. Parameters such as Haugh unit, weight loss, egg width and length, specific gravity, yolk and albumen dimensions and their pH were evaluated weekly. A total of 270 eggs (n=5) collected from two different hen strains were evaluated under room (20 to 35 °C in summer; 11.2 to 29.7 °C in autumn) and refrigerated (0 to 5 °C in summer; -3.1 to 6.5 °C in autumn) temperatures. For storage time, an unfolding analysis was accomplished by regression analysis using orthogonal polynomials. As a second approach, principal component analysis (PCA) was performed in order to assess correlations among quality parameters on storage conditions and laying hen strains. By the end of the 9-week storage period, eggs kept under refrigeration presented similar quality parameters to eggs stored at room temperature for only 3 weeks. In contrast, eggs kept at room temperature presented faster degradation from week 1 to 5. No differences on egg quality parameters were noticed between white and brown shells eggs. PCA suggests that better egg quality (first week) was associated mainly with higher egg weight and its specific gravity, Haugh unit and albumen height. Eggs stored at room temperature should be consumed in 2 weeks or refrigerated until 8 weeks, preserving internal quality from farm to retail.

scholarly journals Nondestructive Quality Screening of Green Tomatoes Using Ethylene Gas

HortScience ◽  
1996 ◽  
Vol 31 (4) ◽  
pp. 641b-641
Author(s):  
F. Maul ◽  
S.A. Sargent
Keyword(s):  
Ascorbic Acid Content ◽  
Titratable Acidity ◽  
Quality Parameters ◽  
Soluble Solids ◽  
Short Exposure ◽  
Internal Quality ◽  
Soluble Solids Content ◽  
Nondestructive Technique ◽  
Total Sugars ◽  
Solids Content

The effects of prolonged ethylene exposure on external and internal quality parameters of tomato fruits were studied in order to explore the feasibility of its use as a nondestructive technique for screening immature and inferior quality fruit. `Agriset' and `CPT-5' tomatoes were hand harvested at Stage 1 (green) and held at 20°C and 50 ppm ethylene for 1-7 days. Each 24 hours, fruits reaching Stage 2 (breaker) were removed from C2H4 and transferred to 20°C air for subsequent ripening. Tomatoes were considered at edible maturity upon reaching full red-ripe stage and 4 mm deformation and final quality parameters were determined. For both cultivars, fruits which required prolonged C2H4 exposure to reach Stage 2 had lower overall visual appearance. `Agriset' tomatoes which required short exposure times to C2H4 (1 to 3 days) had somewhat higher quality than those requiring prolonged times (4 or 5 days). Days to reach edible maturity were 9.5 and 7.7, respectively. For the short exposure times, peel color was more intense (higher chroma value), while soluble solids content and total sugars were significantly higher (P = 0.05). Quality of `CPT-5' tomatoes was not adversely affected until requiring 6 or 7 days exposure to C2H4. Days to reach edible maturity decreased from an average of 12.5 to 11.0 for 1 to 5 or for 6 to 7 days exposure, respectively. For fruits requiring 7 days exposure, soluble solids content, total sugars and pH were significantly higher than for those reaching Stage 2 in fewer days. There were no significant differences in titratable acidity or ascorbic acid content for either cultivar.

scholarly journals Nutritional values of traditional open-pollinated melon (Cucumis melo L.) and watermelon (Citrullus lanatus [Thumb]) varieties

2007 ◽  
Vol 13 (2) ◽  
Author(s):  
Cs. Szamosi ◽  
H. Némethy-Uzoni ◽  
G. Balázs ◽  
É. Stefanovits-Bányai
Keyword(s):  
Cucumis Melo ◽  
Citrullus Lanatus ◽  
Titratable Acidity ◽  
Quality Parameters ◽  
Matter Content ◽  
Soluble Solids ◽  
Internal Quality ◽  
Total Phenol Content ◽  
Dry Matter Content ◽  
Cucumis Melo L

The aim of our experiments was to investigate the internal quality parameters of some old melon and watermelon landraces or varieties whether they have any desirable characteristics. Measurements were carried out using 8 different types of melon (Cucumis melo L.) and 8 accessions of watermelon (Citrullus lanatus [Thumb]), which were self pollinated under greenhouse conditions. Besides the determination of dry matter content; soluble solids, titratable acidity of the fruit juices, investigation of carbohydrates, total phenol content was measured by spectrophotometer. Total antioxidant capacities were determined spectrophotometrically using the FRAP method. We found some accesions both among melon and watermelon varieties, which could be characterized by outstanding inner content.

scholarly journals Impact of Water Deficit during Fruit Development on Quality and Yield of Young Table Grape Cultivars

Horticulturae ◽  
2018 ◽  
Vol 4 (4) ◽  
pp. 45
Author(s):  
Carolin Weiler ◽  
Nikolaus Merkt ◽  
Simone Graeff-Hönninger
Keyword(s):  
Fruit Development ◽  
Phenolic Content ◽  
Quality Parameters ◽  
Table Grape ◽  
Soluble Solids ◽  
Internal Quality ◽  
Total Phenolic ◽  
Table Grapes ◽  
Yield And Quality ◽  
Grape Cultivars

Water limitation has a major effect on agricultural crop production, influencing yield as well as external and internal quality parameters of table grapes. Due to their high yield potential, table grapes have a particularly high risk for yield and quality losses when water is limited, but grapevines are known for high heterogeneity within cultivars. Therefore, we investigated the effect of prolonged water deficits (control, moderate, and severe deficit) during fruit development on yield and quality parameters of four different table grape cultivars (Vitis L.). Furthermore, we ranked their suitability for cultivation in areas suffering from water limitation. Up to 31% of irrigation water could be saved in comparison to the control, without significant negative effects on plant yield, berry size, or internal quality parameters, such as total soluble solids and total phenolic content. However, single bunch yield was highest at a moderate deficit and number of seeds in berries increased with the severity of deficit. Cultivar selection had the greatest influence on water consumption and mainly defined yield and quality parameters. The cultivar ‘Fanny’ produced the highest yields (195.17 g per plant), most bunches per plant (2.04), and biggest berries while cv. ‘Nero’ had the highest total soluble solids content (26.33 °Brix) and the highest total phenolic content (67.53 mg gallic acid equivalents per 100 g fresh weight). Overall, ‘Fanny’ was the most promising cultivar for cultivation under water-limited conditions during fruit development, without significant effects on yield and quality parameters.

Impact of beet quality on sugar manufacture Part 1. General considerations of the technological beet quality

2020 ◽  
pp. 86-93
Author(s):  
Jan Maarten de Bruijn
Keyword(s):  
Sugar Content ◽  
Amino Nitrogen ◽  
Quality Parameters ◽  
Quality Parameter ◽  
Production Costs ◽  
Internal Quality ◽  
Process Technology ◽  
Sugar Beets ◽  
Considerable Impact ◽  
Affect Processing

Without doubt, the sugar content is the major quality parameter of sugar beets. The amount of sugar which can be crystallized as white sugar in processing is often predicted using empirical formula. These formulas are usually based on the potassium, sodium and amino-nitrogen content of the beets. The amount of sugar that cannot be crystallized (i.e. the sugar contained in molasses) is related to these internal quality parameters. However, from a process technology perspective other beet quality parameters play an important role too and may have a considerable impact on the efficiency of beet processing and thus production costs. The first part of this paper presents an overview of the technologically considered important external and internal beet quality parameters and how they affect processing.

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