2016 ASABE International Meeting 2016
DOI: 10.13031/aim.20162460814
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Plant Localization and Discrimination using 2D+3D Computer Vision for Robotic Intra-row Weed Control

Abstract: Weed management is vitally important in crop production systems. However, conventional herbicide based weed control can lead to negative environmental impacts. Manual weed control is laborious and impractical for large scale production. Robotic weed control offers a possibility of controlling weeds precisely, particularly for weeds growing near or within crop rows. A computer vision system was developed based on Kinect V2 sensor, using the fusion of two-dimensional textural data and three-dimensional spatial d… Show more

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