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Deficiencias de hierro y manganeso en hojas de frijol (Phaseolus vulgaris L.) identificadas mendiante análisis textural, color de imágenes digitales y redes neuronales artificiales.
Provedor de dados: 32
Autores: García Cruz, Edgar.
En la presente investigación se analizaron imágenes digitales de hojas de frijol (Phaseolus vulgaris L.) para identificar con un clasificador, deficiencias de hierro (Fe) y manganeso (Mn). A los 24 días después de la siembra (dds) se les suministró la solución nutritiva de acuerdo a ocho tratamientos: dos deficiencias parciales, una de 50 % Fe y otra de 50 % Mn; dos deficiencias totales totales, 0 % Fe y una más de 0 % Mn además de una interacción (0 % Fe, 0 % Mn) y dos dosis excedentes (200 % Fe y 200 % Mn); finalmente un tratamiento testigo (100 % Fe, 100 % Mn) usando como referencia la solución Steiner. A partir de imágenes digitales de muestras de hojas de los tratamientos obtenidas a los 63 dds, se calcularon variables de color con los valores...
Palavras-chave: RGB; Textura; Redes neuronales; Phaseolus vulgaris; Hierro; Manganeso; Texture; Neural networks; Iron; Manganese; Edafología; Maestría.
Ano: 2013
URL: http://hdl.handle.net/10521/2076

IDENTIFICATION OF MAIZE LODGING: A CASE STUDY USING A REMOTELY PILOTED AIRCRAFT SYSTEM
Provedor de dados: 70
Autores: Acorsi,Matheus G.; Martello,Maurício; Angnes,Graciele.
ABSTRACT A common agricultural problem in many regions of Brazil is maize lodging, as a consequence of strong winds and rain which impacts on crop growth and yield. However, collecting data using ground-based, manual field measurement methods is inefficient. An emerging tool is the Remotely Piloted Aircraft System (RPAS), capable of delivering spatial data with high resolution and flexible periodicity. In this study, the potential to detect the maize lodging using crop surface models derived from RPAS was assessed. Our RPA-based approach uses a quantitative threshold to determine lodging percentage. The threshold values of plant height, used to detect the occurrence of lodging, were based on fixed and variable values. The validation of percentage lodging...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Crop surface model; Structure from motion; Canopy height; RGB.
Ano: 2019
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000800066

Análise de imagem para determinação do teor de saponina em quinoa
Provedor de dados: 86
Autores: Souza,Luiz Augusto Copati; Spehar,Carlos Roberto; Santos,Roberto Lorena Bastos.
Um grupo de sementes lavadas e 35 acessos de quinoa (Chenopodium quinoa Willd) foram avaliados pelo método de coluna de espuma e sua coloração foi decomposta pelo modelo RGB (R, vermelho; G, verde; B, azul) com o objetivo de avaliar a influência do teor de saponina na cor do grão. Sementes amarelas apresentaram alto teor de saponina. Houve correlação negativa (p£0,05) entre o teste de coluna de espuma e as bandas R (r = -0,751), G (r = -0,660) e B (r = -0,594). Estabeleceram-se quatro grupos de similaridade. Foram considerados amargos os acessos do grupo 4 (sementes amarelas) e doces os acessos do grupo 1 (sementes brancas). A dispersão observada representa provável diferença na freqüência gênica, refletida pela cor e teor de saponina.
Tipo: Info:eu-repo/semantics/report
Palavras-chave: RGB; Genótipo; Glicosídeo; Correlação; Análise multivariada.
Ano: 2004
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2004000400014

Use of digital images to estimate soil moisture
Provedor de dados: 91
Autores: Santos,João F. C. dos; Silva,Heider R. F.; Pinto,Francisco A. C.; Assis,Igor R. de.
ABSTRACT The objective of this study was to analyze the relation between the moisture and the spectral response of the soil to generate prediction models. Samples with different moisture contents were prepared and photographed. The photographs were taken under homogeneous light condition and with previous correction for the white balance of the digital photograph camera. The images were processed for extraction of the median values in the Red, Green and Blue bands of the RGB color space; Hue, Saturation and Value of the HSV color space; and values of the digital numbers of a panchromatic image obtained from the RGB bands. The moisture of the samples was determined with the thermogravimetric method. Regression models were evaluated for each image type: RGB,...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Soil color; Image processing; RGB; HSV.
Ano: 2016
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016001201051

Use of image analysis for monitoring the dilution of Physalis peruviana pulp
Provedor de dados: 52
Autores: Licodiedoff,Silvana; Ribani,Rosemary Hoffmann; Camlofski,Ana Mery de Oliveira; Lenzi,Marcelo Kaminski.
The aim of this work was to develop linear models using the image analysis coupled with density measurements to monitor the dilution of the Physalis juice in the concentrations ranging from 0 to 100% in mass of juice pulp. A sample corresponding to 20% in the mass of juice pulp was for validating purposes and a prediction of 19.9±0.3%. The models with three parameters showed the best predictions, providing this technique with a promising future for the monitoring the dilution of fruit juices.
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Juice; Fruit; Color; Image; RGB; Physalis.
Ano: 2013
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132013000300015