Using GPS Technology to Evaluate Corn Planter Performance

2001 ◽  
Author(s):  
Randal K. Taylor ◽  
Kevin C. Dhuyvetter ◽  
Terry L. Kastens ◽  
Scott A. Staggenborg
Keyword(s):  
Gps Technology ◽  
Planter Performance

Monitoring High-Risk Sex Offenders With GPS Technology: An Evaluation of the California Supervision Program, Final Report

2012 ◽  
Author(s):  
Stephen V. Gies ◽  
Randy Gainey ◽  
Marcia I. Cohen ◽  
Eoin Healy ◽  
Dan Duplantier ◽  
...  
Keyword(s):  
High Risk ◽  
Sex Offenders ◽  
Final Report ◽  
Gps Technology

Application of Gps Technology to Create Activity Profiles of Youth International Field Hockey Players in Competitive Match-Play

10.26524/1428 ◽  
2014 ◽  
Vol 3 (2) ◽  
pp. 74-78
Author(s):  
Matthew Wylde ◽  
Low Chee Yong ◽  
Abdul Rashid Aziz ◽  
Swarup Mukherjee ◽  
Michael Chia
Keyword(s):  
Field Hockey ◽  
Match Play ◽  
Gps Technology ◽  
Hockey Players

Proposal and implementation of parking guidance method

Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 12-14
Author(s):  
Akira Kawai ◽  
Masahiro Kenmotsu
Keyword(s):  
Traffic Congestion ◽  
Positional Information ◽  
Associate Professor ◽  
Parking Lots ◽  
Gps Technology ◽  
The World ◽  
Car Park ◽  
Free Spaces ◽  
Interest In Research ◽  
Gain Access

Traffic congestion in parking lots is a common phenomenon across the world and larger commercial facilities with multiple parking areas may be particularly affected as many users struggle to gain access to sought-after parking spots close to their destinations. These popular zones often see traffic jams forming as many vehicles arrive within these regions, while less popular areas may remain free from congestion. This creates a very uneven distribution of traffic, with motorists in popular areas becoming trapped and unable to leave bottleneck regions. As a result, the car park management industry has taken an interest in research into parking guidance. Parking guidance has been developed to help improve efficiencies in car parks, guiding drivers to specific spaces using GPS technology to highlight free spaces near their location detailing the most efficient way to get to that spot. Associate Professor Akira Kawai, who is based at Shiga University in Japan, has been working on a KAKEN project that seeks to leverage real-time positional information to help guide drivers to free spaces within parking lots.

PAPER TO PIXELS: MODERNIZING A LEGACY GEOLOGIC MAP USING GIS/GPS TECHNOLOGY

2016 ◽  
Author(s):  
Antonio Condie ◽  
◽  
Elizabeth McClellan ◽  
George C. Stephenson ◽  
Robert C. Whisonant
Keyword(s):  
Gps Technology ◽  
Geologic Map

A Real Time Vehicle Collision Sensor and Reporting System Using Load Sensor, GSM and GPS Technology

2013 ◽  
Vol 718-720 ◽  
pp. 1740-1745
Author(s):  
Tulu Muluneh Mekonnen ◽  
De Ning Jiang ◽  
Yong Xin Feng
Keyword(s):  
Real Time ◽  
Pressure Sensor ◽  
Reporting System ◽  
Electronic Device ◽  
Text Message ◽  
Sensor System ◽  
Gps Receiver ◽  
Gps Technology ◽  
Vehicle Collision ◽  
Load Sensor

Vehicle collision sensor system and reporting accident to police is an electronic device installed in a vehicle to inform police man in case of accident to track the vehicles location. This system works using pressure sensor, GPS and GSM technology. These technology embedded together to sense the vehicle collision and indicate the position of the vehicle or locate the place of accident in order to solve the problem immediately (as soon as possible).For doing so AT89S52 microcontroller is interfaced serially to a GSM modem, GPS receiver, and pressure sensor. A GSM modem is used to send the position (Latitude and Longitude) of the vehicle, the plate of the vehicle and the SMS text from the accident place. The GPS modem will continuously give the data (longitude and latitude) and Load sensor senses the collision of the vehicle against obstacles and input to microcontroller. As load sensor senses the collision, the GSM start to send the plate of the vehicle, text message and the position of the vehicle in terms of latitude and longitude in real time.

Dynamic Generation of Fertilizer Maps Using GPS Technology

2006 ◽  
Author(s):  
J. Gomez Gil ◽  
M. Martinez Zarzuela ◽  
F.J. Diaz Pernas ◽  
J.F. Diez Higuera ◽  
D. Gonzalez Ortega ◽  
...  
Keyword(s):  
Gps Technology ◽  
Dynamic Generation

Effect of Heterogeneous Field Conditions on Corn Seeding Depth Accuracy and Uniformity

2018 ◽  
Vol 34 (5) ◽  
pp. 819-830 ◽  
Author(s):  
Aurelie M. Poncet ◽  
John P. Fulton ◽  
Timothy P. McDonald ◽  
Thorsten Knappenberger ◽  
Joey N. Shaw ◽  
...  
Keyword(s):  
Precision Agriculture ◽  
Yield Potential ◽  
Unit Weight ◽  
Soil Conditions ◽  
Volumetric Soil Water Content ◽  
Site Specific ◽  
Growing Seasons ◽  
Unit Depth ◽  
Planter Performance ◽  
Volumetric Soil Water

Abstract. Optimization of planter performance such as uniform seeding depth is required to maximize crop yield potential. Typically, seeding depth is manually adjusted prior to planting by selecting a row-unit depth and a row-unit downforce to ensure proper seed-soil contact. Once set, row-unit depth and downforce are usually not adjusted again for a field although soil conditions may vary. Optimization of planter performance requires automated adjustments of planter settings to varying soil conditions, but development of precision technologies with such capabilities requires a better understanding of soil-planter interactions. The objective of this study was to evaluate seeding depth response to varying soil conditions between and within fields and to discuss implications for development and implementation of active planting technologies. A 6-row John Deere MaxEmerge Plus planter equipped with heavy-duty downforce springs was used to plant corn ( L.) in central Alabama during the 2014 and 2015 growing seasons. Three depths (4.4, 7.0, and 9.5 cm) and three downforces (corresponding to an additional row-unit weight of 0.0, 1.1, and 1.8 kN) were selected to represent common practices. Depth and downforce were not readjusted between fields and growing seasons. Seeding depth was measured after emergence. Corn seeding depth significantly varied with heterogeneous soil conditions between and within fields and the planter failed to achieve uniform seeding depth across a field. Differences in corn seeding depth between fields and growing seasons were as high as 2.1 cm for a given depth and downforce combination. Corn seeding depth significantly co-varied with field elevation but not with volumetric soil water content. Seeding depth varied with elevation at a rate ranging from -0.1 cm/m to -0.6 cm/m. Seeding depth co-variation to field elevation account for some but not all site-specific seeding depth variability identified within each field trial. These findings provide a better understanding of site-specific seeding depth variability and issues to address for the development of site-specific planting technologies to control seeding depth accuracy and improve uniformity. Keywords: Depth control, Downforce, Planter, Precision agriculture, Seeding depth, Uniformity.

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