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This course demonstrates the importance of data management in precision agriculture including data sources, acquisition, analysis and interpretation. Sources include yield monitoring, imagery, soil and crop sensors and machine performance through telemetry. Storage, display, mapping and data use. 3 lectures. Prereq: MATH 103 or higher. {Also offered for graduate credit - See ASM 655.}.