期刊论文详细信息
Agronomy
Reducing Digging Losses by Using Automated Steering to Plant and Invert Peanuts
George Vellidis2  Brenda Ortiz1  John Beasley1  Rodney Hill2  Herman Henry2 
[1] Department of Crop, Soil and Environmental Sciences, Auburn University, Funchess Hall, Auburn, AL 36849-5412, USA; E-Mails:;Crop & Soil Sciences Department, University of Georgia, 2360 Rainwater Road, Tifton, GA 31793-5766, USA; E-Mails:
关键词: GPS;    auto-steer;    RTK;    planting;    inverting;    peanuts;    yield benefit;    passive implement guidance;    digging losses;   
DOI  :  10.3390/agronomy4030337
来源: mdpi
PDF
【 摘 要 】

GPS guidance of farm machinery has been increasingly adopted by farmers because of the perceived gains in efficiency that it provides. In the southeastern USA one of the reasons farmers adopt GPS guidance, and specifically automated steering (auto-steer), is that it can theoretically result in large yield gains when used to plant and invert peanuts—one of the region’s most important crops. The goal of our study was to quantify the yield benefit of using real time kinematic (RTK)-based auto-steer to plant and invert peanuts under a variety of terrain conditions. Yield benefits result from reduced digging losses. The study was conducted for two consecutive years (2010 and 2011) on a private farm in Georgia, USA. When all data are grouped together, auto-steer outperformed conventional by 579 kg/ha in 2010 and 451 kg/ha in 2011. We also evaluated the performance of auto-steer under different curvature conditions using low, medium, and high curvature rows. The results showed that auto-steer outperformed conventional under all curvature by a minimum of 338 kg/ha. Finally, we evaluated passive implement guidance in combination with auto-steer and found that it holds tremendous potential for further reducing digging losses. In many cases, auto-steer will pay for itself within a year.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.

【 预 览 】
附件列表
Files Size Format View
RO202003190024363ZK.pdf 720KB PDF download
  文献评价指标  
  下载次数:5次 浏览次数:16次