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A rapidly deployable classification system using visual data for the application of precision weed management

  • Published:2018-05 Issue: Volume:148 Page:107-120
  • ISSN:0168-1699
  • Container-title:Computers and Electronics in Agriculture
  • language:en
  • Short-container-title:Computers and Electronics in Agriculture

Author:

Hall David,Dayoub Feras,Perez Tristan,McCool Chris

Funder

Grains Research and Development Corporation

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference28 articles.

1. A hard look at GM crops;Gilbert;Nature,2013

2. Autonomous robotic weed control systems: a review;Slaughter;Comp. Electron. Agricult.,2008

3. Practical experiences with a system for site-specific weed control in arable crops using real-time image analysis and GPS-controlled patch spraying;Gerhards;Weed Res.,2006

4. An agricultural mobile robot with vision-based perception for mechanical weed control;Åstrand;Auton. Robots,2002

5. Bayesian classification and unsupervised learning for isolating weeds in row crops;De Rainville;Pattern Anal. Appl.,2012

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