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539 Blasco, J., Aleixos, N., Roger, J. M., Rabatel, G. and Moltó, E. (2002) Robotic weed control using machine vision. Biosystems Engineering 83(2): 149

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Progress in Agricultural Engineering Sciences
Authors:
Thanh Tung Pham
,
Zinabu Hailu Siyum
,
Thi Thanh Nga Ha
,
Hoa Xuan Mac
,
Sao Mai Dam
,
Trang Ha Dieu Nguyen
,
Lien Le Phuong Nguyen
, and
László Baranyai

Abstract

The presented study investigated the effects of edible coatings with concentration of 2%, 3% and 4% of starch (w/v) on the weight loss and firmness loss of green asparagus during 4 days of storage at room temperature (26 ± 2 °C, 65–70% RH). According to the results, the coated asparagus exhibited significantly slower deterioration rate than the uncoated control samples. This was indicated by the decrease in weight loss and increase in firmness (P < 0.05). After the storage period, the samples treated with 4% starch formula retained the highest quality. Furthermore, the assessment of asparagus quality throughout the storage period involved the use of the line laser scattering technique. Extracted parameters of laser scattering signal discriminated samples with linear discriminant analysis (LDA), in which the correct recognition rate of the treated groups was 75.26% and the storage time was 70.54%. This study showed the potential of laser scattering as a rapid, non-invasive, and practical optical method for assessing the quality of asparagus during storage.

Open access
Progress in Agricultural Engineering Sciences
Authors:
Tamás Zsom
,
Petra Polgári
,
Lien Phuong Le Nguyen
,
Géza Hitka
, and
Viktória Zsom-Muha

by machine vision or hyperspectral imaging systems offering the possibility to non-invasively characterize the quality changes of perishable fruits and vegetables ( Gorbe & Calatayud, 2012; Ziosi, 2008; Pinto et al., 2015 ). The aim of our research

Open access

Grapevine (Vitis vinifera L.) shows morphological plasticity influenced by environmental factors such as radiation and temperature. The effect of row orientation, exposition of leaves and orchard altitude on leaf morphological traits was evaluated. Grapevine cultivar ‘Furmint’ was investigated in this study with the new version of the GRA.LE.D. raster graphic software. The standard OIV (International Organization of Vine and Wine) descriptors were used with additional size parameters. High morphological variability was observed among the leaves collected from 4 different row orientations and 5 levels of expositions. Exposition levels were assigned according to the estimated total radiation collected by leaves at their position. Selected parameters also responded sensitively to changing elevation in the range of 110–289 m. According to the results, traditional leaf morphological investigations performed with machine vision systems may be recommended to reveal significant ecological factors on ampelometric traits.

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Experiments were performed to follow the moisture loss of apple slice samples (discs of 3 cm diameter and 1 cm thickness) during the drying process. Different optical methods were tested in order to find a model for prediction of the moisture content based on non-contact measurements. Apple discs were dried in a hot air drying chamber for different periods (0–7 hours). The mass of every individual sample was measured before drying (initial mass), after drying (actual mass), and after the optical tests at the end of a 24 h drying process (final mass). Both the wet base and the dry base moisture content were calculated from the actual mass and the final mass of the samples. The optical properties of the samples of different moisture content were measured by two different optical methods. Laser induced backscattering method, applying 3 mW laser modules of different wavelengths, was used to generate the diffuse reflection pattern (halo) on the surface of samples and evaluate the halo properties with a machine vision system. Near Infrared Reflection (NIR) technique was also used to collect/measure the log(1/R) spectra of the samples in the 740–1700 nm range.PLS method with full cross-validation was used to predict the moisture content of the samples based on the backscattering data (quantitative parameters of the halo profile) and on the NIR spectra (raw and transformed log(1/R) data). Effective models (r>0.98, RPD>5) were found for prediction of the dry base moisture content of the samples based on both optical methods.

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118 Oren, M. and Nayar, S. K. (1995) Generalization of the Lambertian model and implications for machine vision. International Journal of Computer Vision 14: 227

Restricted access
Progress in Agricultural Engineering Sciences
Authors:
Tamás Zsom
,
Viktória Zsom-Muha
,
Lien Phuong Le Nguyen
,
Dávid Nagy
,
Géza Hitka
,
Petra Polgári
, and
László Baranyai

al., 2015; Ziosi et al., 2008; Zsom et al., 2016, 2018 ) the measurement of chlorophyll content related absorbance differences, chlorophyll fluorescence characteristics, machine vision and hyperspectral imaging systems could be used as non

Open access

version of generic cross-correlation, which is used more often in machine vision. The essence of the amendment is that the result is a value in the [−1, …, 1] interval, that helps input scale independent threshold selection, but in practice, less generally

Open access
Progress in Agricultural Engineering Sciences
Authors:
Thi Thanh Nga Ha
,
Thanh Tung Pham
,
Sao Mai Dam
,
Xuan Hoa Mac
,
Le Phuong Lien Nguyen
,
Géza Hitka
, and
Tamás Zsom

machine vision . Horticulturae , 9 ( 3 ): 341 . Hitka , G. , Zsom , T. , Nguyen , L. , and Balla , C. ( 2014 ). Effect of 1-methylcyclopropene on ‘Bosc Kobak’pears . Acta Alimentaria , 43 ( Supplement-1 ): 73 – 77 . Infante , R. , Meneses

Open access