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ARS Home » Plains Area » Lubbock, Texas » Cropping Systems Research Laboratory » Cotton Production and Processing Research » Research » Publications at this Location » Publication #216711

Title: Wireless GPS system for module-level fiber quality mapping: System improvement and field testing

item GE, Y
item SUI, R
item Wanjura, John

Submitted to: National Cotton Council Beltwide Cotton Conference
Publication Type: Abstract Only
Publication Acceptance Date: 10/5/2007
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: A wireless GPS system for module-level fiber quality mapping has been developed at Texas A&M University. In its complete form, it includes subsystems for harvesters, boll buggies, and module builders. The system was field tested on a producer’s farm near Plains, Texas, in 2006. The field test identified the following problems: (1) limited wireless signal transmission range, (2) lack of a needed boll-buggy subsystem, and (3) software inefficiency. In 2007, improvements were made to tackle these problems: (1) placement of wireless antennas on top of the cabs of the harvester, boll-buggy tractor, and module builder via extension cables, (2) addition of a boll-buggy subsystem, and (3) redesign of software. A John Deere 9996 picker (equipped with a high-quality Starfire GPS system) was available for the harvest subsystem installation, so a harness cable was purchased and used to enable the Starfire system to supply GPS signals to both the harvester subsystem and the yield monitor. The 2007 field test showed that the system can run automatically to track a basket of cotton from the picker to the module builder, except that sending wireless signals is currently manually triggered on the occasion of a basket dump. The wireless transmission range is now greatly enhanced, capable of covering the entire test field (around 200 ac.). Because of the sharing of GPS signals, the basket and module boundaries can be related to the yield map produced from the yield monitor. Therefore, yield data can be extracted according to module number and post-calibrated at high resolution with known module weights.