Effective Vision-based Classification for Separating Sugar Beets and Weeds for Precision Farming

Author:

Lottes Philipp1,Hörferlin Markus2,Sander Slawomir2,Stachniss Cyrill1

Affiliation:

1. Department of Photogrammetry; University of Bonn; Nussallee 15 53115 Bonn Germany

2. Deepfield Robotics; Robert Bosch Start-up GmbH; Benzstrasse 56 71272 Renningen Germany

Funder

European Commission

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Reference24 articles.

1. Weed and crop discrimination using image analysis and artificial intelligence methods;Aitkenhead;Computers and Electronics in Agriculture,2003

2. Crop-weed discrimination by line imaging spectroscopy;Borregaard;J. Agricultural Engineering Research,2000

3. Random forests;Breiman;Machine Learning,2001

4. Backpropagation neural network design and evaluation for classifying weed species using color image texture;Burks;Transactions of the American Society of Agricultural Engineers,2000

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