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dc.contributor.authorNavaneetha Srinivasagan, Subhashree
dc.description.abstractEfficient bale stack location, infield bale logistics, and equipment track impacted area were conducted in three different studies using simulation in R. Even though the geometric median produced the best logistics, among the five mathematical grouping methods, the field middle was recommended as it was comparable and easily accessible in the field. Curvilinear method developed (8-259 ha), incorporating equipment turning (tractor: 1 and 2 bales/trip, automatic bale picker (ABP): 8-23 bales/trip, harvester, and baler), evaluated the aggregation distance, impacted area, and operation time. The harvester generated the most, followed by the baler, and the ABP the least impacted area and operation time. The ABP was considered as the most effective bale aggregation equipment compared to the tractor. Simple specific and generalized prediction models, developed for aggregation logistics, impacted area, and operation time, have performed well (0.88≤R2≤0.99). An ABP of 8 bales capacity, also capable of 11 bales/trip, was recommended.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU Policy 190.6.2
dc.titleInfield Biomass Bales Aggregation Logistics and Equipment Track Impacted Area Evaluationen_US
dc.typeThesisen_US
dc.date.accessioned2018-07-02T13:55:13Z
dc.date.available2018-07-02T13:55:13Z
dc.date.issued2017en_US
dc.identifier.urihttps://hdl.handle.net/10365/28384
dc.subject.lcshBiomass.en_US
dc.subject.lcshRenewable energy sources.en_US
dc.description.sponsorshipNorth Dakota State University. Teaching Assistant Scholarshipen_US
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdf
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeGraduate and Interdisciplinary Studies
ndsu.departmentAgricultural and Biosystems Engineeringen_US
ndsu.programAgricultural and Biosystems Engineeringen_US
ndsu.advisorCannayen, Igathinathane


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