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Data Fusion in Yield Maps to Reduce Errors Using Distinctive Types of Sensors
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.orgCitation: Paper number 031035, 2003 ASAE Annual Meeting . (doi: 10.13031/2013.15387)
Authors: Seung You Na,Won Suk Lee, Dae Jung Shin, Myung Kook Ahn
Keywords: Precision agriculture, Yield map, Data integration/fusion, Sensor-data processing
Due to various types of errors added to yield data, proper methods to reduce measurement errors
are required to produce reliable yield maps. To deal with parasitic types of errors in yield systems, information
provided by the various sensors was utilized and combined in such a way to reduce the measurement errors of
load cells. In addition to four load cells from an experimental model trailer, an accelerometer was used to
obtain information to compensate error induced from vertical movement of the vehicle due to the variation of