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One important issue emerging strongly in agriculture is related with the automatization of tasks, where the optical sensors play an important role. They provide images that must be conveniently processed. The most relevant image processing procedures require the identification of green plants, in our experiments they come from barley and corn crops including weeds, so that some types of action can...
This paper describes the image processing for an autonomous field inspection vehicle that uses a webcam for the navigation between two rows of agricultural crop. The relative vehicle position is calculated by segmentation and classification of the images and by then extracting geometrical lines corresponding to the crop rows. An autonomous vehicle was built and tested successfully in an agricultural...
The development of image processing methods to discriminate between weed, crop and soil is an important step for precision agriculture, the main goal of which is the site-specific management of crops. The main challenge in terms of image analysis is to achieve an appropriate discrimination in outdoor field images under varying conditions of lighting, soil background texture and crop damage. This work...
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