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Thesis - University Access Only
Master of Science (MS)
Department / School
Field Grid Sense (FGS) Harvester System was successfully developed to meet the objectives of the research. The QLANE™ software was adapted and the components were selected and designed for collection of grain yield data for the production of yield maps for site specific management purposes. Location of the yield was determined with the use of travel lanes and a fifth wheel. Yield is determined with an ultrasonic sensor used to measure the depth of grain in the combine hopper. Tests were performed in the laboratory and field for determining the design performance and system benefits, comparison with past research, and future improvements. Maximum error of the yield sensor ranged form 1.3% to 40.3%. Although error exits, the system performance is still beneficial to producers and researchers, and comparable to past research. The system depicts the yield fluctuations within the field better than current farming practices. The research also uncovered limitations that need further investigation for farming spatially such as the effects grain dynamics on sensing yield and the lack of vital spatial data needed for management purposes. The system also creates grain moisture maps with the use of a capacitance grain moisture sensor. Topography maps were also created with the use of electronic clinometers and position data.
Library of Congress Subject Headings
Crop yields -- Measurement -- Data processing
Farm management -- Computer programs
South Dakota State University
Klemme, Kent A., "Results and Advantages of a Spatially-Variable Technology for Crop Yield" (1992). Electronic Theses and Dissertations. 5814.