Automatic GPS-Based Intra-Row Weed Control System for Transplanted Row Crops

Details

• Personal Author:
  Sun H
• Description:
  An efficient means of weed control poses one of the greatest challenges to agricultural crop production today. The proliferation of GPS technologies has made it possible to develop automated weeding systems that utilize autoguidance, as well as a means to differentiate between crops and weeds. The aim of this study was to utilize an autoguidance system equipped with RTK GPS to map tomato transplants during planting, and subsequently remove weeds based on that plant map. In addition, the accuracy of plant map created would be compared using two different RTK GPS systems (one mounted directly on the planter and other that is a part of the tractor autoguidance system) and two additional systems one of which involved measuring the planting wheel angular position and the other utilized a light beam to detect plant. The weeding efficiency based on this plant map would also be evaluated. Close examination of the results showed that plant map creation using the planting wheel angular position had greater accuracy than the light beam sensor method. When the plant map created using transplanter GPS data along with plant detection using planting wheel angular position was compared to the actual plant location using a range pole, the average deviation between the plant map and actual location was 3.0 cm in the Easting direction, and 1.2 cm the Northing direction. However, when the tractor GPS was tested in place of the transplanter GPS, the error increased to 2.7 cm in the Northing direction and 4.1 cm in the Easting direction. Of the 503 plants detected, only 23 were killed by the knives, resulting in a survival rate of 95.4%. These promising data suggest that an automated weed removal system employing RTK GPS could be effective in weed control. [Description provided by NIOSH]
• Subjects:
  Agriculture Automation Occupational Health Safety
• Keywords:
  Agricultural Machinery Agricultural Processes Agricultural Products Tractors
• Publisher:
  University of California at Davis
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Thesis
• Place as Subject:
  California ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  1-118
• NIOSHTIC Number:
  nn:20058646
• Citation:
  Davis, CA: University of California at Davis, 2012 Jan; :1-118
• Federal Fiscal Year:
  2012
• NORA Priority Area:
  Agriculture, Forestry and Fishing
• Performing Organization:
  University of California at Davis
• Peer Reviewed:
  False
• Start Date:
  20090901
• Source Full Name:
  Automatic GPS-based intra-row weed control system for transplanted row crops
• End Date:
  20120831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:f89bd206d5f4c612a714d1ebcfe6dcbc647a8d8facc54693cd0b775eeaa4eaf12013ce6109693d95aafac51b72ad9472f8c64ea7e23e78f6e4f61892855e3310
• Download URL:
  https://stacks.cdc.gov/view/cdc/221687/cdc_221687_DS1.pdf
• File Type:
  [PDF - 4.43 MB ]