955 resultados para Galo doméstico


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Considering the importance of monitoring the water quality parameters, remote sensing is a practicable alternative to limnological variables detection, which interacts with electromagnetic radiation, called optically active components (OAC). Among these, the phytoplankton pigment chlorophyll a is the most representative pigment of photosynthetic activity in all classes of algae. In this sense, this work aims to develop a method of spatial inference of chlorophyll a concentration using Artificial Neural Networks (ANN). To achieve this purpose, a multispectral image and fluorometric measurements were used as input data. The multispectral image was processed and the net training and validation dataset were carefully chosen. From this, the neural net architecture and its parameters were defined to model the variable of interest. In the end of training phase, the trained network was applied to the image and a qualitative analysis was done. Thus, it was noticed that the integration of fluorometric and multispectral data provided good results in the chlorophyll a inference, when combined in a structure of artificial neural networks.

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Image acquisition systems based on multi-head arrangement of digital camerasare attractive alternatives enabling a larger imaging area when compared to a single framecamera. The calibration of this kind of system can be performed in several steps or byusing simultaneous bundle adjustment with relative orientation stability constraints. Thepaper will address the details of the steps of the proposed approach for system calibration,image rectification, registration and fusion. Experiments with terrestrial and aerial imagesacquired with two Fuji FinePix S3Pro cameras were performed. The experiments focusedon the assessment of the results of self-calibrating bundle adjustment with and withoutrelative orientation constraints and the effects to the registration and fusion when generatingvirtual images. The experiments have shown that the images can be accurately rectified andregistered with the proposed approach, achieving residuals smaller than one pixel. © 2013 by the authors; licensee MDPI, Basel, Switzerland.

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Agriculture is an activity in which there is the possibility of using lower quality water and reuse appears as an alternative for irrigation. However, the negative environmental effects of reuse must be understood. The objective of the present work was to verify the potential of groundwater contamination by nitrogen duo to drip irrigation with effluent from domestic wastewater treatment. Three crop cycles of lettuce cv. Raider were conducted, the first between October and November 2009, the second in April and May 2010 and the third one in June and July 2010. The use of effluents was compared with potable water at accumulated water depths of 98.8 mm for the first, 98.4 mm for the second and 119 mm for the third cycle. Soil percolate concentrations of nitrate, nitrite and ammonia were studied at 0.25 m and 0.50 m depths in a completely randomized design. Percolate concentrations of nitrite and ammonia in soil irrigated with effluents showed no groundwater contamination risk. Nitrate however, caused concern, albeit with similar concentrations for both effluent and potable water.

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Pós-graduação em Artes - IA

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Pós-graduação em Ciências da Motricidade - IBRC