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13-agriculture.qmd

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## Objectives
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Our objective in this application is two-fold. First, we would like to assign
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a categorical value for each "pixel" of the image as a label for [geostatistical
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learning](https://www.frontiersin.org/articles/10.3389/fams.2021.689393/full)
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tasks. Second, we would like to convert the region of the image that is inside
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of the agricultural field into a polygonal area for measurements of area and
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perimeter.
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Our objective is twofold. First, we would like to assign a categorical value
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for each pixel of the image, which is true inside of the agricultural field and
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false outside. This value (a.k.a. label) can be useful in applications of
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[geostatistical learning](https://www.frontiersin.org/articles/10.3389/fams.2021.689393/full).
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Second, we would like to convert the region of the image that is inside of the
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agricultural field into a polygonal area for measurements of area and perimeter.
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## Methodology
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