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Image classification using R involves the use of statistical and machine learning techniques to categorize pixels or regions of an image into meaningful classes. R, being a versatile programming language, offers several packages such as `raster`, `terra`, `caret`, and `randomForest` which facilitate image processing and classification tasks. The process typically begins with loading the image data, which can be in the form of raster files, satellite images, or multispectral _______ ____ ___ ____ _____ _____ ___ __________ __________ __________ ____.
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