75 research outputs found
Validation of a laboratory method for evaluating dynamic properties of reconstructed equine racetrack surfaces.
BackgroundRacetrack surface is a risk factor for racehorse injuries and fatalities. Current research indicates that race surface mechanical properties may be influenced by material composition, moisture content, temperature, and maintenance. Race surface mechanical testing in a controlled laboratory setting would allow for objective evaluation of dynamic properties of surface and factors that affect surface behavior.ObjectiveTo develop a method for reconstruction of race surfaces in the laboratory and validate the method by comparison with racetrack measurements of dynamic surface properties.MethodsTrack-testing device (TTD) impact tests were conducted to simulate equine hoof impact on dirt and synthetic race surfaces; tests were performed both in situ (racetrack) and using laboratory reconstructions of harvested surface materials. Clegg Hammer in situ measurements were used to guide surface reconstruction in the laboratory. Dynamic surface properties were compared between in situ and laboratory settings. Relationships between racetrack TTD and Clegg Hammer measurements were analyzed using stepwise multiple linear regression.ResultsMost dynamic surface property setting differences (racetrack-laboratory) were small relative to surface material type differences (dirt-synthetic). Clegg Hammer measurements were more strongly correlated with TTD measurements on the synthetic surface than the dirt surface. On the dirt surface, Clegg Hammer decelerations were negatively correlated with TTD forces.ConclusionsLaboratory reconstruction of racetrack surfaces guided by Clegg Hammer measurements yielded TTD impact measurements similar to in situ values. The negative correlation between TTD and Clegg Hammer measurements confirms the importance of instrument mass when drawing conclusions from testing results. Lighter impact devices may be less appropriate for assessing dynamic surface properties compared to testing equipment designed to simulate hoof impact (TTD).Potential relevanceDynamic impact properties of race surfaces can be evaluated in a laboratory setting, allowing for further study of factors affecting surface behavior under controlled conditions
GNSS in Precision Agricultural Operations
Today, there are two Global Navigation Satellite Systems (GNSS) that are fully operational
and commercially available to provide all-weather guidance virtually 24 h a day anywhere
on the surface of the earth. GNSS are the collection of localization systems that use satellites
to know the location of a user receiver in a global (Earth-centered) coordinate system and
this has become the positioning system of choice for precision agriculture technologies. At
present North American Positioning System known as Navigation by Satellite Timing and
Ranging Global Position System (NAVSTAR GPS or simply GPS) and Russian Positioning
System known as Globalnaya Navigatsionnaya Sputnikovaya Sistema or Global Navigation
Satellite System (GLONASS) both qualify as GNSS. Two other satellite localization systems,
Galileo (European Union) and Compass (Chinese), are expected to achieve full global
coverage capability by 2020. Detailed information on GNSS technology is plentiful, and
there are many books that provide a complete description of these navigation systems [9-
11]. But the focus of this chapter is on the applications of GPS in agricultural operations.
These applications include positioning of operating machines, soil sampling, variable rate
application and vehicle guidance.Comisión Europea FP7/2007-201
Correction: Validation of a Laboratory Method for Evaluating Dynamic Properties of Reconstructed Equine Racetrack Surfaces.
[This corrects the article DOI: 10.1371/journal.pone.0050534.]
NEURAL NETWORK MAPPING TO OBTAIN 2D DISTRIBUTED FIELD INFORMATION : Application to Spatially Varied Infiltration Data
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