- Mexico
Madain Perez
Instituto Tecnologico De Tuxtla Gutierrez, Computer Systems, Department Member
This work introduces a new vision-based approach for estimating chlorophyll contents in a plant leaf using reflectance and transmittance as base parameters. Images of the top and underside of the leaf are captured. To estimate the base... more
This work introduces a new vision-based approach for estimating chlorophyll contents in a plant leaf using reflectance and transmittance as base parameters. Images of the top and underside of the leaf are captured. To estimate the base parameters (reflectance/transmittance), a novel optical arrangement is proposed. The chlorophyll content is then estimated by using linear regression where the inputs are the reflectance and transmittance of the leaf. Performance of the proposed method for chlorophyll content estimation was compared with a spectrophotometer and a Soil Plant Analysis Development (SPAD) meter. Chlorophyll content estimation was realized for Lactuca sativa L., Azadirachta indica, Canavalia ensiforme, and Lycopersicon esculentum. Experimental results showed that—in terms of accuracy and processing speed—the proposed algorithm outperformed many of the previous vision-based approach methods that have used SPAD as a reference device. On the other hand, the accuracy reached is 91% for crops such as Azadirachta indica, where the chlorophyll value was obtained using the spectrophotometer. Additionally, it was possible to achieve an estimation of the chlorophyll content in the leaf every 200 ms with a low-cost camera and a simple optical arrangement. This non-destructive method increased accuracy in the chlorophyll content estimation by using an optical arrangement that yielded both the reflectance and transmittance information, while the required hardware is cheap.
Research Interests:
Research Interests:
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.
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Research Interests:
ABSTRACT This item presents the real-time programming of a prototype robot to control its movement from one moment to another without showing response delays. Contributing to this is the communication protocol developed in our... more
ABSTRACT This item presents the real-time programming of a prototype robot to control its movement from one moment to another without showing response delays. Contributing to this is the communication protocol developed in our laboratories and feasibility of being implemented in the future with wireless control via radio frequency, and to present the progress to date have been obtained.
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This paper presents a similarity-based adaptive neighborhood (SBAN) dense stereovision algorithm which uses color for comparing pixels. In SBAN methods, the neighbor pixels which are not similar to the central one are excluded of the... more
This paper presents a similarity-based adaptive neighborhood (SBAN) dense stereovision algorithm which uses color for comparing pixels. In SBAN methods, the neighbor pixels which are not similar to the central one are excluded of the window when computing the correlation index, which corresponds to adapting the equivalent size and shape of the correlation neighborhood. We present a specific type of
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ABSTRACT In this paper, we present a new sensitive layer to detect dissolved oxygen in pure water. The sensitive layer was elaborated with Lophine and calcium hydroxide. It has identified two forms of measurement: (a) the magnitude of... more
ABSTRACT In this paper, we present a new sensitive layer to detect dissolved oxygen in pure water. The sensitive layer was elaborated with Lophine and calcium hydroxide. It has identified two forms of measurement: (a) the magnitude of optical absorbance, and (b) the bathochromic shift of the absorption peak according to dissolved oxygen. The magnitude of the absorbance was related to the dissolved oxygen concentration in pure water successfully, and it was observed in the wavelength range from 400 to 1100 nm. This result allowed the measurement by using a photodetector for measuring the optical power as a function of dissolved oxygen. It was found that the sensitive layer had a peak absorption around 319 nm, and the bathochromic shift was 24 nm. The response and recovery time was 87 ms and 89 ms respectively, which is an advantage over conventional methods used so far.
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ABSTRACT Water industry is facing increased pressure to produce higher quality treated water at a lower cost. The coagulation-flocculation unit is a major step in the production of potable water, allowing the removal of colloidal... more
ABSTRACT Water industry is facing increased pressure to produce higher quality treated water at a lower cost. The coagulation-flocculation unit is a major step in the production of potable water, allowing the removal of colloidal particles and contamination sources. Currently, the coagulant dosing is manual and it is determined by the way of jar test (off-line dosing tests). This test cannot be applied to supervision and diagnostic real-time. In order to obtain a simple model to describe the water treatment plant, a behavior model sets out, from the analysis of raw water characteristics to the entrance of the plant: (1) prediction on-line the amount of optimal coagulant dosage (software sensor) and (2) the determination of the functional states in real time. The innovative aspect of this paper resides in the design of intelligent control techniques of information water treatment plant (fuzzy logic for the classifier and neuronal networks for the software sensor).
ABSTRACT This paper proposes and demonstrates a novel alternative to measure alternating current (AC) in an indirect manner, based on the interrogation of an Erbium-doped all-fiber laser. The principle of operation is based on sensing the... more
ABSTRACT This paper proposes and demonstrates a novel alternative to measure alternating current (AC) in an indirect manner, based on the interrogation of an Erbium-doped all-fiber laser. The principle of operation is based on sensing the temperature of an electrical wire AWG-22 caused by Joule effect. The heat transfer between a sensing Fiber Bragg Grating and the electrical wire modulates the intensity of the optical output power of the fiber laser. The intensity variation of the fiber laser is caused by the wavelength overlapping process into the fiber laser. The advantage of the proposed alternative is measuring AC current through the optical power from the fiber laser. The linear increment of optical output power as a function of temperature allows for the measurement of the AC current, which is an advantage over other methods.
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Many algorithms for computing correlation based stereo correspondence have been proposed. Some of them can be implemented on specialized architectures, in order to obtain results in real time. In this communication, we propose an... more
Many algorithms for computing correlation based stereo correspondence have been proposed. Some of them can be implemented on specialized architectures, in order to obtain results in real time. In this communication, we propose an experimental comparison of the amount of hardware resources required for implementing these algorithms. An efficient architecture is presented, the STREAM, (acronym for systeme temps-reel d'extraction et
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In this paper, we present a new method for dense stereo matching. In area-based methods, the similarity between one pixel of the left image and one pixel of the right image is measured using a correlation index computed on neighborhoods... more
In this paper, we present a new method for dense stereo matching. In area-based methods, the similarity between one pixel of the left image and one pixel of the right image is measured using a correlation index computed on neighborhoods of these pixels. In our method, the neighbor pixels not similar to the center one are excluded when computing the correlation index, which corresponds to adjusting the equivalent size and shape of the correlation neighborhood. Our algorithm yields a precise estimation of the disparity in nontextured areas, while avoiding undesired smoothing at discontinuities. This method is suitable for real-time implantation using specialized hardware. We demonstrate and discuss performances using synthetic stereo pairs.
In this paper, a novel method that uses both area and feature based information as similarity measures for stereo matching is proposed. Area-based information is suited for non-homogeneous regions while feature information helps in... more
In this paper, a novel method that uses both area and feature based information as similarity measures for stereo matching is proposed. Area-based information is suited for non-homogeneous regions while feature information helps in homogeneous areas. In order to define a conjugate pair, a fuzzy logic approach that combines the similarity information is used. The proposed method preserves discontinuities while reducing matching errors in homogeneous regions. This proposal is suited for real-time processing using dedicated hardware. We demonstrate and discuss performance using synthetic stereo pairs.
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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.
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This article describes the design and efficient implementation of a Takagi Sugeno multivariable Fuzzy Logic Controller. The application selected is a temperature and humidity controller for a chicken incubator. This design was elaborated... more
This article describes the design and efficient implementation of a Takagi Sugeno multivariable Fuzzy Logic Controller. The application selected is a temperature and humidity controller for a chicken incubator. This design was elaborated using VHDL applying intermediate simulations in order to check for functional verification of all modules integrating the controller. The created circuit was implemented on FPGA Cyclone II EP2C35F672C6 assembled in breadboard Altera DE2. Precision of the model on FPGA was calculated by contrasting the obtained results with the results of simulation using MATLAB & Fuzzy Logic Tool Box.