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| TARLAK,Fatih; OZDEMİR,Murat; MELİKOGLU,Mehmet. |
| Abstract The colour of food is one of the most important factors affecting consumers’ purchasing decision. Although there are many colour spaces, the most widely used colour space in the food industry is L*a*b* colour space. Conventionally, the colour of foods is analysed with a colorimeter that measures small and non-representative areas of the food and the measurements usually vary depending on the point where the measurement is taken. This leads to the development of alternative colour analysis techniques. In this work, a simple and alternative method to measure the colour of foods known as “computer vision system” is presented and justified. With the aid of the computer vision system, foods that are homogenous and uniform in colour and shape could be... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Computer vision system; Food; RGB; L*a*b*. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612016000300499 |
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| 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... |
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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 |
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| 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 |
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| 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 |
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