Field efficiency determination using traffic pattern indices

Applied Engineering in Agriculture

Volumn 20, Issue 5, 2004, Pages 563-572

  Grisso, Robert D ^a   Kocher, Michael F ^b   Adamchuk, Viacheslav I ^b   Jasa, Paul J ^b   Schroeder, Mark A ^b  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

Author keywords

Field efficiency; Geo referenced data; Machinery management; Traffic patterns

Indexed keywords

AGRICULTURAL MACHINERY; CORRELATION METHODS; CULTIVATION; DATA RECORDING; DATA REDUCTION; EFFICIENCY; HARVESTING; OPERATIONS RESEARCH; PRODUCTIVITY; STATISTICAL METHODS;

FIELD EFFICIENCY; FIELD OPERATIONS; GEO-REFERENCED DATA; MACHINERY MANAGEMENT; PROFITABILITY; TRAFFIC PATTERN INDICES;

AGRICULTURAL ENGINEERING;

GLYCINE MAX; ZEA MAYS;

EID: 10244256365     PISSN: 08838542     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. ASAE Standards, 46th Ed. 1999a. EP496.2. Agricultural machinery management. St. Joseph, Mich.: ASAE.
2. ASAE Standards, 46th Ed. 1999b. D497.4. Agricultural machinery management data. St. Joseph, Mich.: ASAE.
3. Grisso, R. D., P. J. Jasa, and D. E. Rolofson. 2002. Analysis of traffic patterns and yield monitor data for field efficiency determination. Applied Engineering in Agriculture 18(2): 171-178.
4. Hunt, D. 1995. Farm Power and Machinery Management, 9th Ed. Ames, Iowa: Iowa State University Press.
5. Reichenberger, L. 2001. Digging more data from precision farming; computerized field maps may also help manage machinery. Successful Farming 99(2): 1-2.
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9. Renoll, E. S. 1981. Predicting machine field capacity for specific field and operating conditions. Transactions of the ASAE 24(1): 45-47