scholarly journals Non-invasive Monitoring of Berry Ripening Using On-the-Go Hyperspectral Imaging in the Vineyard

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2534
Author(s):  
Juan Fernández-Novales ◽  
Ignacio Barrio ◽  
María Paz Diago
Keyword(s):  
Hyperspectral Imaging ◽  
Malic Acid ◽  
Prediction Models ◽  
External Validation ◽  
Titratable Acidity ◽  
Soluble Solids ◽  
Total Polyphenols ◽  
Grape Quality ◽  
Entire Experiment ◽  
La Rioja

Hyperspectral imaging offers enormous potential for measuring grape composition with a high degree of representativity, allowing all exposed grapes from the cluster to be examined non-destructively. On-the-go hyperspectral images were acquired using a push broom hyperspectral camera (400–100 nm) that was mounted in the front part of a motorized platform moving at 5 km/h in a commercial Tempranillo vineyard in La Rioja, Spain. Measurements were collected on three dates during grape ripening in 2018 on the east side of the canopy, which was defoliated in the basal fruiting zone. A total of 144 grape clusters were measured for Total soluble solids (TSS), Titratable acidity (TA), pH, Tartaric and Malic acid, Anthocyanins and Total polyphenols, using standard wet chemistry reference methods, throughout the entire experiment. Partial Least Squares (PLS) regression was used to build calibration, cross validation and prediction models for the grape composition parameters. The best performances returned determination coefficients values of external validation (R2p) of 0.82 for TSS, 0.81 for Titratable acidity, 0.61 for pH, 0.62 for Tartaric acid, 0.84 for Malic acid, 0.88 for Anthocyanins and 0.55 for Total polyphenols. The promising results exposed in this work disclosed a notable methodology on-the-go for the non-destructive, in-field assessment of grape quality composition parameters along the ripening period.

scholarly journals On-The-Go VIS + SW − NIR Spectroscopy as a Reliable Monitoring Tool for Grape Composition within the Vineyard

Molecules ◽  
2019 ◽  
Vol 24 (15) ◽  
pp. 2795 ◽  
Author(s):  
Fernández-Novales ◽  
Tardáguila ◽  
Gutiérrez ◽  
Paz Diago
Keyword(s):  
Cross Validation ◽  
Prediction Models ◽  
External Validation ◽  
Nir Spectroscopy ◽  
Soluble Solids ◽  
Spectral Measurements ◽  
Total Polyphenols ◽  
Total Soluble Solids ◽  
Grape Quality ◽  
Reliable Monitoring

Visible-Short Wave Near Infrared (VIS + SW − NIR) spectroscopy is a real alternative to break down the next barrier in precision viticulture allowing a reliable monitoring of grape composition within the vineyard to facilitate the decision-making process dealing with grape quality sorting and harvest scheduling, for example. On-the-go spectral measurements of grape clusters were acquired in the field using a VIS + SW − NIR spectrometer, operating in the 570–990 nm spectral range, from a motorized platform moving at 5 km/h. Spectral measurements were acquired along four dates during grape ripening in 2017 on the east side of the canopy, which had been partially defoliated at cluster closure. Over the whole measuring season, a total of 144 experimental blocks were monitored, sampled and their fruit analyzed for total soluble solids (TSS), anthocyanin and total polyphenols concentrations using standard, wet chemistry reference methods. Partial Least Squares (PLS) regression was used as the algorithm for training the grape composition parameters’ prediction models. The best cross-validation and external validation (prediction) models yielded determination coefficients of cross-validation (R2cv) and prediction (R2P) of 0.92 and 0.95 for TSS, R2cv = 0.75, and R2p = 0.79 for anthocyanins, and R2cv = 0.42 and R2p = 0.43 for total polyphenols. The vineyard variability maps generated for the different dates using this technology illustrate the capability to monitor the spatiotemporal dynamics and distribution of total soluble solids, anthocyanins and total polyphenols along grape ripening in a commercial vineyard.

scholarly journals Spectra evolution over on-vine holding of Italia table grapes: prediction of maturity and discrimination for harvest times using a Vis-NIR hyperspectral device

2017 ◽  
Vol 48 (2) ◽  
pp. 109 ◽  
Author(s):  
Francesca Piazzolla ◽  
Maria Luisa Amodio ◽  
Giancarlo Colelli
Keyword(s):  
Antioxidant Activity ◽  
Near Infrared ◽  
Prediction Models ◽  
Ph Value ◽  
Titratable Acidity ◽  
Soluble Solids ◽  
Harvest Time ◽  
Table Grapes ◽  
Grape Quality

Measurement of certain grape quality parameters (sugars, acidity, and pH-value) is essential for the determination of the optimum harvest time. Non-destructive analytical techniques, including near infrared (NIR) spectroscopy, can be valid alternatives to traditional analytical methods for the determination of maturity indexes, enabling the possibility of on-field applications. This work aims to study the reliability to monitor spectra changes related with ripening of table grapes and to select optimal wavelengths for the discrimination of bunches from different harvests, in addition to the prediction of total soluble solids, pH, titratable acidity, phenols and antioxidant activity of table grapes. Grapes were harvested four times from the same plants at day 0 (I HT), and after 11 (II HT), 27 (III HT) and 48 (IV HT) days. Spectra were acquired from the images obtained using a spectral scanner Vis-NIR (ver 1.4.; DV Srl, Padova, Italy), with a detector in the region between 400-1000 nm principal component analysis was used to remove outliers followed by spectra pre-treatment. The best prediction model was achieved for soluble solids with the regression coefficient values of 0.91 for calibration and 0.88 for validation followed by titratable acidity (0.71 and 0.78) and antioxidant activity (0.68 and 0.62). In addition an excellent correlation was observed between spectra and days before harvest (R2 of 0.98 for calibration and prediction models) indicating that is possible to relate spectra changes with ripening, leading also to the effective discrimination of the fruits from the different harvest times. The results showed that this technique may be a valid support to select the optimal harvest time also based on the prediction of the maturity related constituents.

scholarly journals Hyperspectral Imaging for Evaluating Impact Damage to Mango According to Changes in Quality Attributes

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3920 ◽  
Author(s):  
Duohua Xu ◽  
Huaiwen Wang ◽  
Hongwei Ji ◽  
Xiaochuan Zhang ◽  
Yanan Wang ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Prediction Models ◽  
Impact Damage ◽  
Mangifera Indica ◽  
Titratable Acidity ◽  
Strong Relationship ◽  
Quality Attributes ◽  
Soluble Solids ◽  
Coefficient Of Determination ◽  
Mean Square Errors

Evaluation of impact damage to mango (Mangifera indica Linn) as a result of dropping from three different heights, namely, 0.5, 1.0 and 1.5 m, was conducted by hyperspectral imaging (HSI). Reflectance spectra in the 900–1700 nm region were used to develop prediction models for pulp firmness (PF), total soluble solids (TSS), titratable acidity (TA) and chroma (∆b*) by a partial least squares (PLS) regression algorithm. The results showed that the changes in the mangoes’ quality attributes, which were also reflected in the spectra, had a strong relationship with dropping height. The best predictive performance measured by coefficient of determination (R2) and root mean square errors of prediction (RMSEP) values were: 0.84 and 31.6 g for PF, 0.9 and 0.49 oBrix for TSS, 0.65 and 0.1% for TA, 0.94 and 0.96 for chroma, respectively. Classification of the degree of impact damage to mango achieved an accuracy of more than 77.8% according to ripening index (RPI). The results show the potential of HSI to evaluate impact damage to mango by combining with changes in quality attributes.

scholarly journals Qualification of 'Bordô' grape clones in Vale do Rio do Peixe, in the state of Santa Catarina, Brazil

2018 ◽  
Vol 53 (7) ◽  
pp. 800-808
Author(s):  
Alberto Fontanella Brighenti ◽  
Ricardo Allebrandt ◽  
Bruno Munhoz ◽  
Diego Poletto de Matos ◽  
Murillo Albuquerque Regina ◽  
...  
Keyword(s):  
Morphological Characteristics ◽  
Titratable Acidity ◽  
The State ◽  
Soluble Solids ◽  
Alternate Bearing ◽  
Santa Catarina ◽  
Grape Quality ◽  
Total Anthocyanins ◽  
Adequate Quality ◽  
Cluster Compactness

Abstract: The objective of this work was to characterize the productive and qualitative performances of 11 clones of 'Bordô' grape (Vitis labrusca) destined to wine and juice production, in the region of Vale do Rio do Peixe, in the state of Santa Catarina, Brazil. The experiment was carried out in the 2011, 2012, 2014, and 2015 crop seasons. The analyzed yield components were: number of clusters per vine, yield, cluster weight, accumulated yield, and alternate bearing index. The analyzed morphological characteristics of clusters were: number of berries per cluster, berry diameter, cluster compactness index, and cluster length. In order to assess grape quality, the following parameters were analyzed: soluble solids (SS), pH, titratable acidity (TA), SS/TA ratio, total anthocyanins, and total polyphenols. The 'Bordô' grape clones 13 and 16 ('Paco' and 'Bocaina') are the most suitable ones for cultivation in the wine producing region of Vale do Rio do Peixe, as they show the highest yields, production stability, and grapes with adequate quality for wine and juice elaboration.

scholarly journals Comparison of apples from organic and integrated farming

2010 ◽  
Vol 16 (3) ◽  
Author(s):  
M. Tóth-Markus ◽  
N. Adányi ◽  
F. Boross ◽  
H. G. Daood ◽  
D. Bánáti ◽  
...  
Keyword(s):  
Radical Scavenging ◽  
Principal Component ◽  
Zinc Content ◽  
Titratable Acidity ◽  
Soluble Solids ◽  
Total Polyphenols ◽  
Integrated Farming ◽  
Copper And Zinc ◽  
Significant Difference ◽  
Trolox Equivalent

Prima’, ‘Gala’, ‘Remo’, ‘Topáz’, ‘Idared’, ‘Releika’, ‘Resi’, ‘Rubinola’, ‘Rajka’, ‘Rewena’ and ‘Florina’ apple cultivars, both from organic and integrated farming, from Pallag and Újfehértó, were compared. Average size, weight, soluble solids, titratable acidity, total polyphenols, free radical scavenging capacity expressed as Trolox equivalent (TEAC), copper and zinc were determined at harvest and after cool storage. Organic apples were more acidic, while integrated fruits had mostly higher copper and zinc content. Total polyphenols and TEAC values did not show a significant difference as a function of farming technology. A principal component analysis shows the separation of provenances as well as stored and fresh apples. Results are considered as preliminary.

scholarly journals Variability of characteristic components of aronia

2014 ◽  
Vol 32 (No. 1) ◽  
pp. 25-30 ◽  
Author(s):  
J. Šnebergrová ◽  
H. Čížková ◽  
E. Neradová ◽  
B. Kapci ◽  
A. Rajchl ◽  
...  
Keyword(s):  
Citric Acid ◽  
Malic Acid ◽  
Titratable Acidity ◽  
Quinic Acid ◽  
Soluble Solids ◽  
Mean Values ◽  
Aronia Melanocarpa ◽  
Black Chokeberry ◽  
The Mean

The variability of characteristic components of aronia (Aronia melanocarpa, black chokeberry) and to evaluate the chemical composition and quality of aronia products in order to complete the already available data and to facilitate authentication of fruit products were estimated. The mean values obtained for the set of aronia fruits were: soluble solids 19.9 °Brix, titratable acidity 9.8 g malic acid/kg, formol number 11.9 ml 0.1M NaOH/100 g, ash 6.7 g/kg, phosphorus 0.34 g/kg, potassium 2.90 g/kg, calcium  0.27 g/kg, magnesium 0.16 g/kg, sucrose 0.10 g/kg, glucose 47.1 g/kg, fructose 37.8 g/kg, sorbitol 66.1 g/kg, malic acid 9.6 g/kg, citric acid 1.0 g/kg, quinic acid 5.0 g/kg, isocitric acid 0.02 g/kg. These values can potentially be a useful tool to determine aronia content in foodstuffs or to determine adulteration of other fruit-based products with aronia. The most promising markers appeared to be the content of sorbitol, quinic acid and characteristic profile of anthocyanins measured by HPLC.  

scholarly journals Industrial Processing Affects Product Yield and Quality of Diced Tomato

Agriculture ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 230
Author(s):  
Francesco De Sio ◽  
Mariateresa Rapacciuolo ◽  
Alessandro De Giorgi ◽  
Luca Sandei ◽  
Bonaventura Giuliano ◽  
...  
Keyword(s):  
Titratable Acidity ◽  
Product Yield ◽  
Fruit Production ◽  
Soluble Solids ◽  
Total Polyphenols ◽  
Quality Performance ◽  
Industrial Processing ◽  
Yield And Quality ◽  
Promising Perspective

The tomato industry has been searching for new genotypes with improved fruit production, both in the field and industrially processed, together with high-quality performance under sustainable management conditions. This research was carried out in Southern Italy with the aim of assessing the effects of industrial processing on the yield and quality of four tomato hybrids grown according to organic farming methods and addressed at dicing. MAX 14111 and HMX 4228 showed the highest values of field and processing yield as well as reduced sugars and fructose. MAX 14111 had the highest values of total solids and soluble solids, titratable acidity, fiber, energetic value, polyphenols, and also rutin, though not significantly different from Impact. HMX 4228 performed best in terms of sugar ratio, color and naringenin. Concerning the diced products, the sensorial qualities of the four hybrids differed significantly. Total polyphenols, naringenin and rutin in the tomato fruits were higher in the processed than in the raw product. The appreciable fruit yield and quality resulting from both field and processing phase represent a promising perspective for identifying improved tomato genotypes addressed at dicing.

scholarly journals CHANGES IN ORGANIC ACIDS AND OTHER COMPOSITIONAL AND PHYSIOLOGICAL ATTRIBUTES OF PEACHES DUE TO CHILLING INJURY.

HortScience ◽  
1992 ◽  
Vol 27 (11) ◽  
pp. 1167c-1167
Author(s):  
T. Wang ◽  
A. R. Gonzalez ◽  
E. E. Gbur ◽  
J. M. Aselage
Keyword(s):  
Citric Acid ◽  
Cold Storage ◽  
Malic Acid ◽  
Storage Time ◽  
Chilling Injury ◽  
Titratable Acidity ◽  
Quinic Acid ◽  
The Other ◽  
Soluble Solids ◽  
Flesh Firmness

Babygold 5 (BG5) and Redhaven (RDH) peaches at maturity 4 were held at 2.3°C for 0, 2 and 4 weeks. After each cold storage treatment half of the fruit sample was evaluated; the other half was ripened for 8 days at 21°C and respiration was measured daily. The evaluations on both samples were for malic, citric and quinic acids, titratable acidity (TA), soluble solids (SS) and flesh firmness. Malic acid in ripened BG5 and RDH Fruits increased relative to their unripened counterpart over the cold storage time; citric acid increased in BG5, decreased in RDH; quinic acid decreased in both cultivars; TA increased; SS decreased in BG5, did not change in RDH; flesh firmness increased in BG5, did not change in RDH. Respiratory rate increased with cold storge time in both cultivars. Overall, BG5 showed more susceptibility to chilling than RDH.

scholarly journals Performance Evaluation of Two Commercially Available Portable Spectrometers to Non-Invasively Determine Table Grape and Peach Quality Attributes

Agronomy ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 148 ◽  
Author(s):  
Irwin R. Donis-González ◽  
Constantino Valero ◽  
Md Abdul Momin ◽  
Amanjot Kaur ◽  
David C. Slaughter
Keyword(s):  
Prediction Models ◽  
Quality Attributes ◽  
Table Grape ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Soluble Solids ◽  
Grape Quality ◽  
Portable Spectrometers ◽  
Spectrometer Data

Near-infrared (NIR) spectroscopy has been used to non-destructively and rapidly evaluate the quality of fresh agricultural produce. In this study, two commercially available portable spectrometers (F-750: Felix Instruments, WA, USA; and SCiO: Consumer Physics, Tel Aviv, Israel) were evaluated in the wavelength range between 740 and 1070 nm to non-invasively predict quality attributes, including the dry matter (DM), and total soluble solids (TSS) content of three fresh table grape cultivars (‘Autumn Royal’, ‘Timpson’, and ‘Sweet Scarlet’) and one peach cultivar (‘Cassie’). Prediction models were developed using partial least-square regression (PLSR) to correlate the NIR absorbance spectra with the invasive quality measurements. In regard to grapes, the best DM prediction models yielded an R2 of 0.83 and 0.81, a ratio of standard error of performance to standard deviation (RPD) of 2.35 and 2.29, and a root mean square error of prediction (RMSEP) of 1.40 and 1.44; and the best TSS prediction models generated an R2 of 0.97 and 0.95, an RPD of 5.95 and 4.48, and an RMSEP of 0.53 and 0.70 for the F-750 and SCiO spectrometers, respectively. Overall, PLSR prediction models using both spectrometers were promising to predict table grape quality attributes. Regarding peach, the PLSR prediction models did not perform as well as in grapes, as DM prediction models resulted in an R2 of 0.81 and 0.67, an RPD of 2.24 and 1.74, and an RMSEP of 1.28 and 1.66; and TSS resulted in an R2 of 0.62 and 0.55, an RPD of 1.55 and 1.48, and an RMSEP of 1.19 and 1.25 for the F-750 and SCiO spectrometers, respectively. Overall, the F-750 spectrometer prediction models performed better than those generated by using the SCiO spectrometer data.

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