Nutrimental state of vegetables foods, is a more studied parameter to defined quality them. A way to predict the deficit of phosphorus and potassium in hydroponic lettuce crops is presented. The method is based on the leaf area sizes at... more
Nutrimental state of vegetables foods, is a more studied parameter to defined quality them. A way to predict the deficit of phosphorus and potassium in hydroponic lettuce crops is presented. The method is based on the leaf area sizes at different stages of growth, measured with digital images. For acquisition, the camera was placed perpendicularly to the lettuce leaf, considering technical data of sensor and the known distance between this and the leaf, the area represented by each pixel of the image and the area occupied by the leaf is computed. Nutriment types was related with leaf area size, ANOVA table determined that phosphorus and potassium are the nutrients statistically related to plant growth.
The main objective of this research was analyzing variations about physical-chemical properties of Jatropha Curcas L. (JCL) oil by image processing. Ten samples with previous identification of the physical-chemical properties concerning... more
The main objective of this research was analyzing variations about physical-chemical properties of Jatropha Curcas L. (JCL) oil by image processing. Ten samples with previous identification of the physical-chemical properties concerning such as the acid value, oxidation stability, water content, density and viscosity, was prepared. These parameters affect the oil quality and have significant importance in biofuels production. After oils characterization, all photographs was acquired in order to apply processing techniques to analyze the red, green and blue behavior corresponding to the oil property. Both red and green show useful behavior patterns, on the other hand blue is not recommended because of its instability
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This paper describes an FPGA Correlation-Edge Distance approach for real time disparity map generation in stereo-vision. The proposed method calculates the disparity map for the input and disparity map for Edge Distance images of a... more
This paper describes an FPGA Correlation-Edge Distance approach for real time disparity map generation in stereo-vision. The proposed method calculates the disparity map for the input and disparity map for Edge Distance images of a stereopair. In both cases the approximation algorithm of disparity map SAD (Sum of Absolute Differences) is used. The final disparity map is determined from the previously generated maps, considering a homogeneity parameter defined for each point in the scene. Due to low complexity when implementing stereo vision algorithms in FPGA devices, the proposed method was implemented in a Cyclone II EP2C35F672C6 FPGA assembled in an Altera DE2 breadboard. The developed module can process stereo-pairs of 1280x1024 pixel resolution at a rate of 75 frames/s and produces 8-bit dense disparity maps within a range of disparities up to 63 pixels. The presented architecture provides a significant improvement in regions with uniformed texture over correlation based stereo-vision algorithms in the reported literature and an accelerated processing rate.
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En esta investigación se realizó un experimento factorial completo con los 3 macro nutrimentos principales como factores y 3 niveles de contenido por cada uno, cuando las plantas alcanzaron la madurez se cortaron hojas para capturar las... more
En esta investigación se realizó un experimento factorial completo con los 3 macro nutrimentos principales como factores y 3 niveles de contenido por cada uno, cuando las plantas alcanzaron la madurez se cortaron hojas para capturar las imágenes digitales. La cámara se colocó perpendicularmente a la hoja de lechuga y con los datos técnicos del sensor CCD y la distancia conocida entre este y la hoja, se calculó el área que representa cada píxel de la imagen y así conocer el área que ocupa la hoja. Cuando conocimos el área ocupada por cada hoja de lechuga, se relacionó con el tipo y cantidad de nutrimentos que contenía y estadísticamente se encontró que diferentes combinaciones afectan el tamaño, pero el elemento común en ellas es el fósforo seguido del potasio, el nitrógeno no afecta tanto en el tamaño si no al color. Entonces el método es válido para predecir carencia de fósforo y potasio.