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Precision Agriculture in the 21st Century: Geospatial and Information Technologies in Crop Management
FIGURE 2-2 Soil and crop variability observed in remote sensing. This image was acquired over fields in the Sacramento Valleys near Davis, California by a NASA airborne sensor on August 20, 1992. The area has diverse crops from fruit and nut orchards, tomatoes, corn, alfalfa, and safflower growing on deep loam soils. At this time many of the summer crops have been harvested and soil variation within and between soil units is evident. Despite the low spatial resolution needed for many precision agriculture applications (about 20 m by 20 m, or 400 m2), relative to new spaceborne sensors that can provide 1-5 m resolution, the connection between some soil patterns and apparent crop growth differences is evident in the fields. Non-uniform growth conditions within fields are common. SOURCE: Data acquired by NASA Advanced Visible Infrared Imaging Spectrometer (AVIRIS) and processed by University of California, Davis Center for Spatial Analysis and Remote Sensing (CSTARS).