Search Results - "wavelength"

Radio: the weather wavelength by Technical Centre for Agricultural and Rural Cooperation

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The potential of long-wavelength satellite-borne radar to support implementation of the Ramsar Wetlands Convention by Rosenqvist, A., Finlayson, C. Max, Lowry, J., Taylor, D.

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Detection of subsurface bruises in plums using spectral imaging and deep learning with wavelength selection by Castillo-Gironés, Salvador, Van Bellenghem, R., Wouters, N., Munera, Sandra, Blasco, José, Saeys, W.

“…The most informative wavelengths were identified as inputs for the CNNs employing PCA. …”
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Bayesian modelling of phosphorus content in wheat grain using hyperspectral reflectance data by Pacheco Gil, Rosa Angela, Velasco Cruz, Ciro, Pérez Rodriguez, Paulino, Burgueño, Juan, Pérez Elizalde, Sergio, Rodrigues, Francelino, Ortíz Monasterio, Jose Iván, Valle Paniagua, David Hebert del, Toledo, Fernando H.

Subjects: “…wavelength…”
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Selection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural Networks by Lorente, Delia, Aleixos, Nuria, Gómez-Sanchís, Juan, Cubero, Sergio, Blasco, José

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Using Vis/NIR hyperspectral imaging and wavelength selection for accurate postharvest discrimination of similar loquat cultivars by Castillo-Gironés, Salvador, Munera, Sandra, Rodríguez, Alejandro, Aleixos, Nuria, Cubero, Sergio, López-Chulia, Marina, Martínez-Onandi, Nerea, Blasco, José

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Evaluating soil quality in tropical agroecosystems of Colombia using NIRS by Velásquez, E., Lavelle, Patrick M., Barrios, E., Joffre, R, Reversat, F

“…Correlations were sought between absorbance in wavelength classes as determined by NIRS, and a set of variables describing soil quality grouped into three classes: (i) chemical variables (Ca, Mg, K, exchangeable Al, total P, P-Bray II); (ii) organic variables (total C, total N, image, image, respirometry and carbon content in different fractions separated by the LUDOX physical methods) and (iii) NIRS variables quantifying the absorptions in the near infrared region separated into 101 classes of wavelength). …”
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Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use by Walsh, Kerry B., Blasco, José, Zude, Manuela, Sun, Xudong

“…A review of scientific effort is made for the period 2015 - February 2020, in terms of the application areas, instrumentation, chemometric methods and validation procedures, and this work is critiqued through comparison to techniques in commercial use, with focus to wavelength region, optical geometry, experimental design, and validation procedures. …”
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Canine cone electroretinograms in response to visible and ultraviolet lights by Nordling, Lars

“…The peak sensitivityof the short wavelength-sensitive cones (S-cones) is in the blue to violet spectral range and themedium- to long-wavelength-sensitive cones have their peak sensitivity in the red to green partof the spectrum. …”
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Prediction of the in vitro gas production and chemical composition of kikuyu grass by near-infrared reflectance spectroscopy by Herrero, Mario, Murray, I., Fawcett, R.H., Dent, J.B.

“…An analysis of the wavelength segments associated with the in vitro gas production indicated that the primary wavelength was always located between the 1664 and the 1696 nm spectral region regardless of incubation time. …”
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Impact of light quality on leafy green vegetables by Abdul Aziz, Muhammad

“…To conduct this study, spinach leaves were exposed to blue light with a wavelength of approximately 460 nm for 0, 2, 4, 6 and 8 hours intervals. …”
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Fotodynamisk terapi vid behandling av skivepitelskarcinom hos katt by Nordell, Johanna

“…The method uses the interaction between a photosensitive agent which has been administered to the tumor area, light of a wavelength that can be absorbed by the photosensitiser and the presence of oxygen. …”

Rapid determination of fructooligosaccharide in solar‑dried banana syrup by using near‑infrared spectroscopy by Udomkun, Patchimaporn, Rungpichayapichet, P., Phuangcheen, N., Innawong, B.

“…Considering the highest coefficient of determination (R2) and the lowest root mean square error (RMSE) of prediction, the prediction model of GF2 and GF3 yielded the greatest when original spectra at the optimization wavelength region was used. At the same time, the SNV procedure exhibited the best for the prediction model of GF4 and total FOS. …”
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Evaluation of the retinal ON- and OFF-responses in the dog ERG by Kristensson, Charlotte

“…Both background and flash stimuli were provided by LEDs (light emitting diodes) with a wavelength of 470 nm, a wavelength that is absorbed almost as effectively by the canine M/L-cones as by the S-cones. …”

Report on identifying a protocol to elicit flowering in Brachiaria humidicola with photoperiod management by Florián, David, Hernández, Luis Miguel, Castiblanco, Valheria

“…Two Genotypes of Brachiaria humidicola (A and B) were planted on the grounds of CIAT headquarters in Palmira during 2018 – 2019, 10 lamps were placed in the lot to evaluate 6 different photoperiods (1 - 6) with Light in 2 different wavelength range (W.R.) α and β, for this, 17 samples were carried out on the variables height, vigor, chlorophyll content and number of inflorescences; a total of 93 field work were carried out to support the trial, finding that the photoperiod 5 in the W.R. β and 3 photoperiod in the W.R. α for the B genotype show significant differences (p <0.05, Tukey) with respect to the other treatments for height and number of inflorescences, performing the statistical analysis in the SAS software. …”
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Food and feed production by Blasco, José, Munera, Sandra, Cubero, Sergio, Aleixos, Nuria

“…Depending on the type of food and the properties to be analyzed, different wavelength dispersion devices, cameras, or illumination sources have to be used to capture images in the most appropriate spectral ranges. …”
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Establishing a predictive model for total fat content in Lipomyces starkeyi CBS 1807 by FT-NIR analysis by Ehnström, Irina

“…The spectra examined was within the wavelength range of 3600- 12800 cm-1 and two regions of the NIR spectra were chosen for the construction of the model (8771.2 cm-1 – 7922.6 cm-1) and (5986.3 cm-1 – 5322.9 cm-1). …”

Study of light penetration depth of a Vis-NIR hyperspectral imaging system for the assessment of fruit quality. A case study in persimmon fruit by García-García, José, Rodríguez-Ortega, Alejandro, Aleixos, Nuria, Blasco, José, Albert, Francisco, Munera, Sandra

“…The absorption (μa) and scattering (μ's) coefficients from Farrell's diffusion theory were estimated using the backscattered light measured at different distances from the incident point light at each wavelength in hyperspectral images of persimmon fruit. …”
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Set up of an automatic water quality sampling system in irrigation agriculture by Heinz, Emanuel, Kraft, Philipp, Buchen, Caroline, Frede, Hans-Georg, Aquino, Eugenio, Breuer, Lutz

“…For this purpose we couple an automatic sampling system with a Wavelength-Scanned Cavity Ring Down Spectrometry System (WS-CRDS) for stable water isotope analysis (δ2H and δ18O), a reagentless hyperspectral UV photometer (ProPS) for monitoring nitrate content and various water level sensors for hydrometric information. …”
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T10SLRE: A novel ensemble learning approach for rapid and non-destructive prediction of bread loaf volume in wheat using NIR spectroscopy by Li, Lei, Tian, Wenfei, Zhao, Zihui, Xiao, Yonggui, Zhang, Yong, Liu, Jindong, Velu, Govindan, Zhonghu, He, Ibba, Maria Itria

“…We propose a novel top 10 % sampling linear regression ensemble (T10SLRE) approach, which achieved a R2 of 0.74 and an RMSE of 22.92 mL/100 g, without spectral preprocessing or wavelength selections. It also classified wheat lines below the bread-making threshold of 850 mL/100 g with 97.90 % accuracy. …”
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