KEYWORDS: Cameras, Digital photography, Near infrared, Agriculture, Digital cameras, Remote sensing, Soil science, Photography, RGB color model, Vegetation
This paper introduces the use of aerial RGB digital photography to detect changes in soil structure at field level before
vegetation appearance and in the early stages of crop development. Aerial digital photographs of a field trial were used
as basis for soil structure mapping. Images were acquired right after sowing the crop, and image-processing routines
made it possible to detect and map changes in soil structure. The detected pattern could be recognized in the growth
pattern of the canopy a month later. The field trial used in this work was subdivided into areas receiving different
amounts of fertilizer, and the aerial digital photographs clearly showed the detected soil variations to overpower the
influence of the differences in fertilization.
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