scholarly journals Robustness of Tomato Quality Evaluation Using a Portable Vis-SWNIRS for Dry Matter and Colour

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
U. K. Acharya ◽  
P. P. Subedi ◽  
K. B. Walsh
Keyword(s):  
Dry Matter ◽  
Near Infrared ◽  
Short Wave ◽  
Matter Content ◽  
Soluble Solids ◽  
Practical Implementation ◽  
Calibration Model ◽  
Dry Matter Content ◽  
Least Squares Regression ◽  
Growing Conditions

The utility of a handheld visible-short wave near infrared spectrophotometer utilising an interactance optical geometry was assessed in context of the noninvasive determination of intact tomato dry matter content, as an index of final ripe soluble solids content, and colouration, as an index of maturation to guide a decision to harvest. Partial least squares regression model robustness was demonstrated through the use of populations of different harvest dates or growing conditions for calibration and prediction. Dry matter predictions of independent populations of fruit achievedR2ranging from 0.86 to 0.92 and bias from −0.14 to 0.03%. For a CIEa⁎colour model, predictionR2ranged from 0.85 to 0.96 and bias from −1.18 to −0.08. Updating the calibration model with new samples to extend range in the attribute of interest and in sample matrix is key to better prediction performance. The handheld spectrometry system is recommended for practical implementation in tomato cultivation.

scholarly journals Optimization of Instrument Design for In-Line Monitoring of Dry Matter Content in Single Potatoes by NIR Interaction Spectroscopy

Foods ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 828
Author(s):  
Jens Petter Wold ◽  
Marion O’Farrell ◽  
Petter Vejle Andersen ◽  
Jon Tschudi
Keyword(s):  
Dry Matter ◽  
Near Infrared ◽  
Optical Measurement ◽  
Matter Content ◽  
Instrument Design ◽  
Calibration Model ◽  
Dry Matter Content ◽  
Least Squares Regression ◽  
Process Plant ◽  
Important Quality

Dry matter (DM) content is one of the most important quality features of potatoes. It defines the physical properties of the potatoes and determines what kind of product the potatoes can be used for. This paper presents the results obtained by a novel prototype NIR (near-infrared) instrument designed to measure DM content in single potatoes in process. The instrument is based on interaction measurements to measure deeper into the potatoes. It measures rapidly, up to 50 measurements per second, allowing several moving potatoes to be measured per second. The instrument also enables several interactance distances to be recorded for each measurement. The instrument was calibrated based on three different potato varieties and the calibration measurements were done in a process plant, making the calibration model suitable for in-line use. A good calibration for DM was obtained by partial least squares regression (RMSECV = 0.78% DM, R2 = 0.91). The instrument was tested in-line in the process plant and several batches of potatoes were monitored for the estimation of the DM distribution per batch. Accuracy of DM determination as function of measurement position on the potato was studied, and results indicate that NIR scans along the center part of the potatoes give slightly better results compared to scans taken on either side of the center. Small differences in optical measurement geometry influence the accuracy of the calibration models, underlining the importance of optimizing instrument design for successful measurements.

Use of Visible-Near Infrared Diffuse Reflectance Spectroscopy to Discriminate between Kiwifruit with Properties Altered by Preharvest Treatments

1997 ◽  
Vol 5 (2) ◽  
pp. 113-122 ◽  
Author(s):  
Alistair D. Mowat ◽  
Philip R. Poole
Keyword(s):  
Dry Matter ◽  
Diffuse Reflectance ◽  
Near Infrared ◽  
Diffuse Reflectance Spectroscopy ◽  
Matter Content ◽  
Soluble Solids ◽  
Skin Colour ◽  
Canonical Variate ◽  
Dry Matter Content ◽  
Treatment Groups

Visible-near infrared (NIR) spectra of kiwifruit berries were processed by discriminant analysis techniques to differentiate berries treated during on-vine development. Treatments applied were leaf removal or shading berries with aluminium foil through crop development, or dipping the berries in ethephon two weeks prior to harvest. In order to accentuate the treatment effects, the canes used for individual treatments were cinctured to cut the phloem layer near the central cordon. Diffuse reflectance visible-NIR spectra were measured for all berries at harvest and after storing at 0°C for 16 weeks, and in sound ripened berries, for which the mass, skin colour, soluble solids and dry matter content were also determined. Principal components (PCs) were calculated for the 550–990 nm region of the visible-NIR absorption spectra for 500 berries randomly selected from all treatments. Canonical variate analyses of the PC were used to distinguish the berries from the original treatment groups. At harvest and after storage, discriminant algorithms, based on training spectra, were applied to validation spectra sets and correctly classified 99% and 87% of the berries, respectively, by their on-vine treatment. In the sound ripened berries, discrimination based on the visible-NIR data was superior to that achieved using combinations of mass, skin colour, dry matter and soluble solids.

scholarly journals Low-cost, handheld near-infrared spectroscopy for root dry matter content prediction in cassava

2021 ◽  
Author(s):  
Jenna Hershberger ◽  
Edwige Gaby Nkouaya Mbanjo ◽  
Prasad Peteti ◽  
Andrew Smith Ikpan ◽  
Kayode Ogunpaimo ◽  
...  
Keyword(s):  
Dry Matter ◽  
Near Infrared ◽  
Low Cost ◽  
Model Performance ◽  
Matter Content ◽  
Dry Matter Content ◽  
Least Squares Regression ◽  
Breeding Programs ◽  
Test Sets ◽  
Root Dry Matter Content

Over 800 million people across the tropics rely on cassava as a major source of calories. While the root dry matter content (RDMC) of this starchy root crop is important for both producers and consumers, characterization of RDMC by traditional methods is time-consuming and laborious for breeding programs. Alternate phenotyping methods have been proposed but lack the accuracy, cost, or speed ultimately needed for cassava breeding programs. For this reason, we investigated the use of a low-cost, handheld NIR spectrometer for field-based RDMC prediction in cassava. Oven-dried measurements of RDMC were paired with 21,044 scans of roots of 376 diverse clones from 10 field trials in Nigeria and grouped into training and test sets based on cross-validation schemes relevant to plant breeding programs. Mean partial least squares regression model performance ranged from R2p = 0.62 - 0.89 for within-trial predictions, which is within the range achieved with laboratory-grade spectrometers in previous studies. Relative to other factors, model performance was highly impacted by the inclusion of samples from the same environment in both the training and test sets. Random forest variable importance analysis of root spectra revealed increased importance in a region previously identified as predictive of water content in plants (~950 - 990 nm). With appropriate model calibration, the tested spectrometer will allow for field-based collection of spectral data with a smartphone for accurate RDMC prediction and potentially other quality traits, a step that could be easily integrated into existing harvesting workflows of cassava breeding programs.

Hybrid performance and heterosis in strawberry (Fragaria × ananassaDuchesne), regarding acidity, soluble solids and dry matter content in fruits

2016 ◽  
Vol 135 (2) ◽  
pp. 232-238 ◽  
Author(s):  
Elżbieta Kaczmarska ◽  
Jacek Gawroński ◽  
Ewa Jabłońska-Ryś ◽  
Marta Zalewska-Korona ◽  
Wojciech Radzki ◽  
...  
Keyword(s):  
Dry Matter ◽  
Matter Content ◽  
Soluble Solids ◽  
Dry Matter Content ◽  
Hybrid Performance

Application of near Infrared Transmission Spectroscopy for the Determination of Some Quality Parameters of Apples

1994 ◽  
Vol 2 (4) ◽  
pp. 213-221 ◽  
Author(s):  
T. Lovász ◽  
P. Merész ◽  
A. Salgó
Keyword(s):  
Dry Matter ◽  
Near Infrared ◽  
Matter Content ◽  
Dry Matter Content ◽  
Quality Factors ◽  
Infrared Transmission ◽  
Transmission Method ◽  
Titratable Acid ◽  
Transmission Spectroscopy ◽  
Relative Standard

The acceptability of near infrared (NIR) transmission spectroscopy for the prediction of six quality factors of apples (firmness, refractive index, pH, titratable acid, dry matter and alcohol insoluble solids content) was investigated. The effects of storage conditions, cultivars and season on the accuracy of the NIR transmission method were also studied during the experiment. The accuracy of the calibration of all investigated parameters decreased during storage. The alteration of the characteristics of the spectra is possibly due to changes in the chemical composition and structure of apples between September and April. The calibration method was improved by developing a separate calibration for each cultivar per year. The calibrations of the different parameters are season-dependent except for the dry matter content. Using outlier diagnostics, the prediction accuracy can be generally improved by about 10%. The coefficient of variation for each parameter is compatible with the relative standard deviation for the reference methods except for the titratable acid content, showing the applicability of NIR transmission techniques. A relationship seems to exist between the maturity and the NIR transmission spectra of the apple.

scholarly journals Near-infrared Spectroscopy for Rapid Estimation of Dry Matter Content in Whole Unpeeled Potato Tubers

2012 ◽  
Vol 1 (4) ◽  
pp. 55 ◽  
Author(s):  
Trygve Helgerud ◽  
Vegard H. Segtnan ◽  
Jens P. Wold ◽  
Simon Ballance ◽  
Svein H. Knutsen ◽  
...  
Keyword(s):  
Dry Matter ◽  
Near Infrared ◽  
Reference Method ◽  
Quality Parameters ◽  
Matter Content ◽  
Dry Matter Content ◽  
Potato Tubers ◽  
External Reference ◽  
Explained Variance ◽  
Processed Potatoes

<p>The dry matter is one of the main quality parameters of raw and processed potatoes. In the present study, the potential of utilizing high throughput commercially available NIR interactance systems for dry matter determination in whole unpeeled potato tubers is investigated. The performance of a 2D NIR interactance instrument was compared with that of a 1D NIR interactance instrument and a traditional underwater weight apparatus. A total of 114 tubers were assessed individually with both of the NIR instruments (760-1040 nm), the underwater weight and an external reference method (freeze drying). The 1D interactance instrument obtained better prediction results than what the 2D instrument could achieve (R<sup>2</sup>=0.95, RMSECV=0.91, and R<sup>2</sup>=0.83, RMSECV=1.65, respectively). The underwater weight obtained the highest explained variance (R<sup>2</sup>=0.97), but the estimation was biased by approximately 1.5% (by weight). The poorer prediction performance of the 2D NIR interactance system can be partly explained by the lower penetration depths of the light compared to the 1D NIR interactance systems.</p>

scholarly journals Quality characterization, phenolic and carotenoid content of new orange, cream and yellow-fleshed sweetpotato genotypes

2021 ◽  
Vol 39 (3) ◽  
pp. 299-304
Author(s):  
Lucimeire Pilon ◽  
Jaqueline S Guedes ◽  
Bruna S Bitencourt ◽  
Raphael Augusto de C Melo ◽  
Larissa PC Vendrame ◽  
...  
Keyword(s):  
Phenolic Compounds ◽  
Ipomoea Batatas ◽  
Dry Matter ◽  
Matter Content ◽  
Soluble Solids ◽  
Carotenoid Content ◽  
Total Phenolic ◽  
Dry Matter Content ◽  
Total Carotenoids ◽  
Β Carotene

ABSTRACT Sweetpotato (Ipomoea batatas) is a root crop grown in many countries. This tuberous root is a source of energy, nutrients, and phytochemicals. In this study, bioactive compounds and physical and physicochemical qualities of sweetpotato genotypes were evaluated. Eight new genotypes of sweetpotato produced by Embrapa Hortaliças (orange-fleshed: MD09026-OF and MD09024-OF; cream-fleshed: MD09011-CF, MD09004-CF, MD10039-CF, and MD10004-CF; yellow-fleshed: MD09017-YF and MD12002-YF) and two cultivars used as controls (Beauregard and Brazlândia Roxa) were evaluated for color, soluble solids, dry matter, phenolic compounds, total carotenoids and β-carotene. Hue angles differed even between those sweetpotatoes with the same flesh color. The orange-fleshed genotypes MD09024-OF, MD09026-OF, and Beauregard, had the lowest L*, showing to be darker than the others. These sweetpotatoes also had the brightest flesh colors with higher C*. The orange-fleshed genotypes MD09026-OF and MD09024-OF were sweeter (10.55oBrix and 9.23oBrix) than Beauregard (5.12oBrix). Brazlândia Roxa had the highest dry matter content (38.05%), followed by the genotypes MD10004-CF, MD09017-YF, MD09026-OF MD10039-CF, and MD09011-CF, which showed similarity, ranging from 32.33% to 29.12%. The highest contents of total carotenoids were found for the orange-fleshed genotypes MD09026-OF (80.06 mg g-1) and MD09024-OF (70.56 mg g-1) and Beauregard (73.12 mg g-1). These same genotypes showed the highest total phenolic compounds (0.815 mg g-1 and 0.686 mg g-1, respectively). MD09026-OF showed the highest content of β-carotene (46.47 mg g-1). MD09026-OF was the most prominent genotype among those evaluated, as it showed the highest total carotenoid, β-carotene, phenolic compounds, and soluble solids content, in addition to a high dry matter content.

Effects of poultry manure and mineral fertilizers on the quality of crops

1992 ◽  
Vol 118 (2) ◽  
pp. 215-221 ◽  
Author(s):  
F. Pimpini ◽  
L. Giardini ◽  
M. Borin ◽  
G. Gianquinto
Keyword(s):  
Dry Matter ◽  
Poultry Manure ◽  
Mineral Fertilizer ◽  
Matter Content ◽  
Soluble Solids ◽  
Mineral Fertilizers ◽  
Dry Matter Content ◽  
Processing Tomato ◽  
Spinach Leaves

SUMMARYPoultry manure and mineral fertilizers at two rates of application (medium and high) and in different combinations, together with a non-fertilized control, were tested at the Experimental Station of the Agricultural University of Padova, Italy (45° 21′ N, 11° 58′ E) in 1985–89.Compared to the control, all the fertilization treatments increased the incidence of larger-sized bulbs of onion and tubers of potato, improved the fruit colour of processing tomato and the raw protein content of spinach, but reduced the acidity and acids: soluble solids ratio of tomato and the dry matter content of spinach leaves.In addition, the application of 140 kg/ha of N, 140 kg/ha of P2O5 and 100 kg/ha of K2O as mineral fertilizer or as poultry manure gave the best scores of processing suitability of potato, both for sticks and chips. All the fertilization formulae, except for 140 kg/ha of N, 140 kg/ha of P2O5 and 100 kg/ha of K2O as poultry manure alone, showed significant decreases in the extractable sucrose ratio in sugarbeet, compared with the control. In processing tomato, the best scores of suitability for paste transformation were obtained with mixed fertilization (1/3 poultry manure and 2/3 mineral fertilizers) applying 210 kg/ha of N, 210 kg/ha of P2O5 and 150 kg/ha of K2O and the plots receiving only mineral fertilizers produced fruits with less favourable values of pH and electrical conductivity compared to the poultry manured ones.

Sign in / Sign up

Export Citation Format

Share Document