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On-Farm Analysis of Corn Silage Harvesting Systems Observation and Data Processing Techniques

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  2010 Pittsburgh, Pennsylvania, June 20 - June 23, 2010  1009925.(doi:10.13031/2013.30089)
Authors:   Nathan E Dudenhoeffer, Matthew F Digman, Kevin J Shinners
Keywords:   GPS, Forage Harvesting, Machinery Selection, Logistics, Data Processing, Cartography, Field Mapping

Harvesting corn silage is a major cost for large dairy producers. Information about machinery utilization in forage harvesting systems can help farm managers make better decisions on selection of machinery and management practices. A method is presented to gather information on harvesting machinery using low-cost GPS technology. Data from GPS data loggers mounted on self-propelled forage harvesters and accompanying transport vehicles is processed using geometric algorithms to determine machine utilization. A convex hull algorithm is presented for identifying field boundaries, and a well developed cartographic technique is applied to the boundaries to reduce the complexity. Machine activity and utilization are then calculated based on the position and speed of all the machines in the system.

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