Consulta: subjectFacets:"Near infrared"
Registros recuperados: 4
Data/hora: 12/06/2024 13:21:53

Aplicacion de sensores remotos en la deteccion y evaluacion de plagas y enfermedades en la vegetacion.
Provedor de dados: 14
Autores: SA, I. B.; ANTONIO GARCIA, R. de; ALMOROX, J. A.
Mediante la utilizacion de sensores remotos, la deteccion, registro y analisis de las alteraciones ocurridas en el comportamiente espectral de la cobertura vegetal, permitem caracterizar y evaluar el estado nutricional y fitosanitario de las plantas, detectando incidencias de plagas y enfermedades e inferir posibles carencias nutricionales. En el trabajo se comprueba que el estudio de la reflectancia en la region del infrarrojo cercano permite detectar eficazmente el inicio de danos al producirse cambios en el comportamiento espectral de las plantas. Esta aplicacion permite uma deteccion mas temprana de los danos, pues el ataque de enfermedades o plagas puede ser detectado incluso antes de que la planta presente sintomas visuales de deterioro.
Tipo: Capítulo em livro técnico (INFOTECA-E)
Palavras-chave: Refletancia; Plant; Diseases; Pest; Near infrared; Analysis; Análise; Doença; Planta; Praga; Raio Infravermelho; Sensoriamento Remoto; Vegetação; Reflectance; Remote sensing; Vegetation.
Ano: 1999
URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/133846

Multispectral remote sensing for site-specific nitrogen fertilizer management
Provedor de dados: 86
Autores: Bagheri,Nikrooz; Ahmadi,Hojjat; Alavipanah,Seyed Kazem; Omid,Mahmoud.
The objective of this work was to evaluate the use of multispectral remote sensing for site-specific nitrogen fertilizer management. Satellite imagery from the advanced spaceborne thermal emission and reflection radiometer (Aster) was acquired in a 23 ha corn-planted area in Iran. For the collection of field samples, a total of 53 pixels were selected by systematic randomized sampling. The total nitrogen content in corn leaf tissues in these pixels was evaluated. To predict corn canopy nitrogen content, different vegetation indices, such as normalized difference vegetation index (NDVI), soil-adjusted vegetation index (Savi), optimized soil-adjusted vegetation index (Osavi), modified chlorophyll absorption ratio index 2 (MCARI2), and modified triangle...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Aster; Nitrogen content; Near infrared; Multispectral response; Precision agriculture; Vegetation indices.
Ano: 2013
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2013001000011

Diallelic analysis for lysine and oil contents in maize grains
Provedor de dados: 63
Autores: Medici,Leonardo Oliveira; Gaziola,Salete Aparecida; Varisi,Vanderlei Aparecido; Paula,José Antonio Carmezini de; Ferreira,Renato Rodrigues; Azevedo,Ricardo Antunes.
Six S5 lines of maize, with differences for lysine and oil contents in grains, were used to carry out a complete series of diallelic crosses. The resulting 15 hybrids were grown in a field at two nitrogen levels (10 and 130 kg N ha-1). The general combining ability (GCA) and specific combining ability (SCA) were obtained by using the method 4, model I of Griffing for grain yield, and grain lysine and oil contents. Significant (p &lt; 0.001) interaction was observed between GCA and N levels for grain yield, indicating the selection of different lines for each N level. This interaction was not significant for lysine content, but there were significant effects of GCA for this trait at both N levels (p &lt; 0.1). Significant effects were not observed for GCA...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Cereal; Opaque; Nitrogen; Proteins; Near infrared.
Ano: 2009
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000200009

Usefulness of near infrared reflectance (NIR) spectroscopy and chemometrics to discriminate between fishmeal, meat meal and soya meal samples
Provedor de dados: 118
Autores: Cozzolino,Daniel; Restaino,Ernesto; La Manna,Alejandro; Fernandez,Enrique; Fassio,Alberto.
Near infrared reflectance (NIR) spectroscopy was used in combination with chemometrics to discriminate between fishmeal, meat meal and soya meal samples. Samples were obtained from commercial feed miles and scanned in the NIR region (1100 - 2500 nm) in a monochromatic instrument in reflectance mode. Principal component analysis (PCA) and linear discriminant analysis were used to classify samples based on their NIR spectra. Full cross-validation was used in the development of classification models. Partial least squares-discriminant analysis (PLS-DA) correctly classified 85.7% of the fishmeal samples and 100% of the meat meal and soya meal samples. These results demonstrate the usefulness of NIR spectra combined with chemometrics as an objective and rapid...
Tipo: Journal article
Palavras-chave: Fishmeal; Glycine max; Meat meal; Near infrared; Principal component analysis; Spectroscopy; Soya meal.
Ano: 2009
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-16202009000200005