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Aide à l'estimation des stocks d'huîtres en élevage par télédétection basse altitude: étude de faisabilité ArchiMer
De Pontual, Helene.
Existing methods to assess the biomass of reared oyster's stocks are ail based on aerial photographs and field data. In this study, we propose an automatic processing of the digitized aerial photographs making use of advanced vision tools such as mathematical morphology. The implemented a1gorithms are described. They give enough convincing results to suggest further developments. However, this method requires the use of digital images. To this respect, a part of this paper deals with data acquisition problems. We particularly study the feasibility of using airborne video recording system. Such device should give a quite accurate information, easier to process than the classical aerial photographs.
Tipo: Text Palavras-chave: Huître; Estimation des stocks; Photographie aérienne; Vidéo aéroportée; Analyse d'images numériques; Oysters; Stock assessment; Aerial pholographs; Airborne videography; Digital image processing.
Ano: 1989 URL: http://archimer.ifremer.fr/doc/00105/21669/19247.pdf
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Detecção de Giberela em trigo usando processamento digital de imagens na banda do infravermelho próximo. Infoteca-e
BARBEDO, J. G. A.; TIBOLA, C. S.; FERNANDES, J. M. C..
Dentre as principais doenças que atacam o trigo, a giberela é de particular interesse. Esta doença, além de causar perdas na produção, está associada também à presença da micotoxina chamada deoxinivalenol, a qual pode causar sérios problemas de saúde em pessoas e animais.
Tipo: Boletim de Pesquisa e Desenvolvimento (INFOTECA-E) Palavras-chave: Grãos de trigo; Imagens hiperespectrais; Digital image processing; Wheat kernels; Cereal grains; Hyperspectral image.; Trigo; Doença de planta; Fusariose; Giberela.; Wheat; Digital images; Image analysis; Near-infrared spectroscopy; Fusarium head blight; Plant diseases and disorders..
Ano: 2014 URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/1010672
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Effect of age on upper and lower eyelid saccades BJMBR
Leite,L.V.O.; Cruz,A.A.V.; Messias,A.; Malbouisson,J.M.C..
To study the effect of age on the metrics of upper and lower eyelid saccades, eyelid movement of two groups of 30 subjects each were measured using computed image analysis. The patients were divided on the basis of age into a younger group (20-30 years) and an older group (60-91 years). Eyelid saccade functions were fitted by the damped harmonic oscillator model. Amplitude and peak velocity were used to compare the effect of age on the saccades of the upper and lower eyelid. There was no statistically significant difference in saccade amplitude between groups for the upper eyelid (mean ± SEM; upward, young = 9.18 ± 0.32 mm, older = 8.93 ± 0.31 mm, t = 0.56, P = 0.58; downward, young = 9.11 ± 0.27 mm, older = 8.86 ± 0.32 mm, t = 0.58, P = 0.56) However,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Upper eyelid saccade; Lower eyelid saccade; Aging; Digital image processing.
Ano: 2006 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2006001200017
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ESTIMATING VEGETATION VOLUME OF COFFEE CROPS USING IMAGES FROM UNMANNED AERIAL VEHICLES REA
Cunha,João P. A. R. da; Sirqueira Neto,Matheus A.; Hurtado,Sandro M. C..
ABSTRACT Tree crops, such as Arabica coffee (Coffea arabica L.), present enormous technical challenges in terms of pesticide application. The correct deposition and distribution of the active ingredient throughout the aerial part of these plants depends on knowledge of the canopy volume, but manually determining this volume is time consuming and imprecise. The objectives of this study were to develop a method to determine the vegetation volume of coffee crops from digital images captured by camera onboard unmanned aerial vehicles and to compare this approach with traditional vegetation volume estimation (tree row volume (TRV) method). Manual measurements of the canopy volume of four coffee cultivation areas were compared with data obtained using the method...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Unmanned aircraft system; Digital image processing; Canopy volume.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000800041
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Mapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images AGRIAMBI
Cechim Junior,Clóvis; Johann,Jerry A.; Antunes,João F. G..
ABSTRACT The knowledge on reliable estimates of areas under sugarcane cultivation is essential for the Brazilian agribusiness, since it helps in the development of public policies, in determining prices by sugar mills to producers and allows establishing the logistics of production disposal. The objective of this work was to develop a methodology for mapping the sugarcane crop area in the state of Paraná, Brazil, using images from the Landsat/TM/OLI and IRS/LISS-3 satellites, for the crop years from 2010/2011 to 2013/2014. The mappings were conducted through the supervised Maximum likelihood classification (Maxver) achieving, on average, an overall accuracy of 94.13% and kappa index of 0.82. The correlation with the official data of the IBGE ranged from...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Remote sensing; Digital image processing; Supervised classification; Maxver; Agricultural statistic.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000600427
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Method for automatic detection of wheezing in lung sounds BJMBR
Riella,R.J.; Nohama,P.; Maia,J.M..
The present report describes the development of a technique for automatic wheezing recognition in digitally recorded lung sounds. This method is based on the extraction and processing of spectral information from the respiratory cycle and the use of these data for user feedback and automatic recognition. The respiratory cycle is first pre-processed, in order to normalize its spectral information, and its spectrogram is then computed. After this procedure, the spectrogram image is processed by a two-dimensional convolution filter and a half-threshold in order to increase the contrast and isolate its highest amplitude components, respectively. Thus, in order to generate more compressed data to automatic recognition, the spectral projection from the processed...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Wheezes; Lung sounds; Spectrogram; Digital image processing; Artificial neural networks.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2009000700013
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Model-assisted phenotyping by digital images in papaya breeding program Scientia Agricola
Cortes,Diego Fernando Marmolejo; Catarina,Renato Santa; Barros,Gislanne Brito de Araújo; Arêdes,Fernanda Abreu Santana; Silveira,Silvaldo Felipe da; Ferreguetti,Geraldo Antônio; Ramos,Helaine Christine Cancela; Viana,Alexandre Pio; Pereira,Messias Gonzaga.
ABSTRACT Manual phenotyping for papaya Carica papaya (L) breeding purposes limits the evaluation of a great number of plants and hampers selection of superior genotypes. This study aimed to validate two methodologies for the phenotyping of morpho-agronomic plant traits using image analysis and fruit traits through image processing. In plants of the ‘THB’ variety and ‘UENF/Caliman-01’ hybrid two images (A and B) were analyzed to estimate commercial and irregularly shaped fruits. Image A was also used in the estimation of plant height, stem diameter and the first fruit insertion height. In ‘THB’ fruits, largest and smallest diameters, length, and volume were estimated by using a caliper and image processing (IP). Volume was obtained by water column...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Carica papaya; Phenomics; Digital image processing.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162017000400294
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