Publications by authors named "Teresa E Alarcon"

Blue agave is an important commercial crop in Mexico, and it is the main source of the traditional mexican beverage known as tequila. The variety of blue agave crop known as Tequilana Weber is a crucial element for tequila agribusiness and the agricultural economy in Mexico. The number of agave plants in the field is one of the main parameters for estimating production of tequila.

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The use of Unmanned Aerial Vehicles (UAVs) based on remote sensing has generated low cost monitoring, since the data can be acquired quickly and easily. This paper reports the experience related to agave crop analysis with a low cost UAV. The data were processed by traditional photogrammetric flow and data extraction techniques were applied to extract new layers and separate the agave plants from weeds and other elements of the environment.

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Classification methods based on Gaussian Markov Measure Field Models and other probabilistic approaches have to face the problem of construction of the likelihood. Typically, in these methods, the likelihood is computed from 1D or 3D histograms. However, when the number of information sources grows, as in the case of satellite images, the histogram construction becomes more difficult due to the high dimensionality of the feature space.

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Article Synopsis
  • The watersheds method is a mathematical technique for segmenting images, specifically designed to reduce over-segmentation issues.
  • A new two-stage algorithm was developed to accurately extract blood vessels from malignant tumor images by first identifying a region that includes the vessels and then separating them from the background.
  • Testing showed that this method achieved less than 10% false positives and no false negatives, proving it effective for use on personal computers with real images.
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