Thermal Effects of Laser Irradiation on Maize Seeds

Hernández-Aguilar, C.; Pacheco, Flavio Arturo Domínguez; Orea, A. Cruz; Tsonchev, Rumen Ivanov

doi:10.1515/intag-2015-0028

Cited by 21 publications

(12 citation statements)

References 30 publications

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“…For this purpose, maize was selected as a model plant due to its significant economic value as a worldwide cultivated crop for its high starch content [31,32]. Furthermore, studies revealed that the laser is useful to improve the sanitary quality of maize seed [33]; this characteristic allows a seedling to have more strength to emerge from the soil [34].…”

Section: Introductionmentioning

confidence: 99%

Laser Irradiation Effects at Different Wavelengths on Phenology and Yield Components of Pretreated Maize Seed

et al. 2020

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This study aims to compare the effects of different laser wavelengths, exposure times, and low-power-intensity laser irradiation on maize seeds. Seeds were exposed to He–Ne (632.8 nm) red laser, Nd:YAG second-harmonic-generation (532 nm) green laser, and diode (410 nm) blue laser. Four different exposure times (45, 65, 85, and 105 s) with different intensity (2 and 4 mW/cm2), for each laser were tested. Phenology and yield components (plant height, leaf area, number of rows per ear, seed yield, harvest index, yield efficiency, and grain weight) were determined. The experiment was conducted in a randomized complete block design with three replications. Plant height was found comparatively high in blue laser light—211 cm at 85 s. Blue and green laser lights showed significant increases in the number of rows per ear to 39.1 at 85 s and 45 at 65 s, respectively, compared to the control of 36 rows/ear. The order of seed yield was blue (7003.4 kg/ha) > green (6667.8 kg/ha) > red (6568.01 t/ha) based on different exposure times of 85 s, 85 s, and 105 s, respectively, compared to the control of 6.9 kg/ha. The findings indicate the possibility of using blue laser light to manipulate the growth and yield of maize.

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Section: Introductionmentioning

confidence: 99%

Laser Irradiation Effects at Different Wavelengths on Phenology and Yield Components of Pretreated Maize Seed

et al. 2020

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“…Considering the diversity and potentiality of digital image processing techniques, in the present research, collections of thermal images in grayscale that are treated as a realization of random processes [1] are analyzed using the following statistical methods: histogram to obtain the gray levels distribution of images; the mean which is a measure of the image brightness; the variance that represents a measure of the image contrast, the entropy of both Shannon and Tsallis that indicate the average amount of self-information that contains the images and the probability density of the temperature variations for two genotypes of corn seeds: crystalline and floury in their natural state. The seeds were irradiated with laser light using a thermographic camera following the experiment described in [23], considering two exposure times: 15 and 35 s, with the aim of characterizing them quantitatively from the thermal images.…”

Section: Introductionmentioning

confidence: 99%

Statistical methods for the analysis of thermal images obtained from corn seeds

et al. 2021

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During the last decades, digital image processing algorithms have been developed to measure external characteristics of agricultural products due to the great potential that these methods offer. So, in this research, the thermal images obtained from a thermographic camera were analysed considering two genotypes of maize seeds: crystalline and floury in their natural state, previously irradiated with a laser light source of 650 nm for exposure times of 15 s and 35 s. The methods applied in the analysis were: a) histogram to obtain the distribution of gray levels of images, b) mean value that indicates the brightness of images, c) variance which means the contrast of images, d) entropy applying both Shannon and Tsallis definitions, which provide the average self-information of images, e) estimation of the probability density of temperature variations on seeds to quantitatively characterize them from thermal images. Higher mean and variance were obtained from crystalline seeds indicating higher brightness and contrast. Furthermore, thermal images of floury seeds had higher entropy of Shannon indicating that images had greater disorder with respect to images of crystalline seeds. In the case of the entropy of Tsallis, the entropic index q could be used for characterization of seeds. Thermal images obtained from seeds with a floury structure provided a higher redundancy value for a shorter exposure time to laser light. Thus, the viability of the statistical methods of digital image processing applied to thermal imaging for the characterization of seeds is shown.

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“…One of the PT techniques is the photoacoustic spectroscopy (PAS), used to study the optical and reflectance properties in different areas of knowledge, obtaining optical properties in biological materials, having relation to color, quality and state of degradation [9][10][11]. By using PT techniques, different crops such as wheat, acai, and corn seeds have been studied to obtain various optical and thermal properties [9,10,12,13]. These techniques may be used as a diagnostic, to obtain features of seeds.…”

Section: Introductionmentioning

confidence: 99%

“…These techniques may be used as a diagnostic, to obtain features of seeds. Likewise, analysis of thermal images [7,14] has shown that laser irradiation on biological object, such as corn, cause chemical reactions and temperature increment due to its chemical and physical characteristics [12,15,16]. So, it is important to know the temperature variations corn grains could experience.…”

Section: Introductionmentioning

confidence: 99%

Thermal analysis and artificial vision of laser irradiation on corn

et al. 2020

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Currently evaluation of agricultural product quality is of great importance, in order to guarantee a consumption free of contaminants. In different research areas several techniques are used to evaluate food attributes, related to its quality. Among the techniques used to characterize food stuffs, photothermal techniques have shown versatility to obtain different physical parameters of foods. In the present investigation, the temperature variation effects of different varieties of corn kernels, when excited by laser light during 60 s, were obtained from digital and thermal images, which were analyzed by using artificial vision for characteristic color patterns and geometric measurements to observe the thermal effects, respectively. From these images it was possible to observe variations in temperature, through differences in digital and thermal images of corn samples. Also photoacoustic (PA) spectra were obtained in a wavelength range from 300 to 750 nm, for each variety of corn kernels. Different behaviors of both, image analysis and the PA spectra, showing that one variety of corn kernels present a greater response in both techniques compared to the other varieties. The information obtained could be used in food production areas to identify, classify and determine attributes of grains and seeds of different types of crops.

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Thermal Effects of Laser Irradiation on Maize Seeds

Cited by 21 publications

References 30 publications

Laser Irradiation Effects at Different Wavelengths on Phenology and Yield Components of Pretreated Maize Seed

Laser Irradiation Effects at Different Wavelengths on Phenology and Yield Components of Pretreated Maize Seed

Statistical methods for the analysis of thermal images obtained from corn seeds

Thermal analysis and artificial vision of laser irradiation on corn

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