Title
Plant Localization and Discrimination using 2D+3D Computer Vision for Robotic Intra-row Weed Control
Campus Units
Agricultural and Biosystems Engineering
Document Type
Conference Proceeding
Publication Version
Published Version
Publication Date
2016
DOI
10.13031/aim.20162460814
Conference Title
2016 ASABE Annual International Meeting
Conference Date
July 17–20, 2016
City
Orlando, FL, United States
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 data to recognize and localized crop plants different growth stages. Images were acquired of different plant species such as broccoli, lettuce and corn at different growth stages. A database system was developed to organize these images. Several feature extraction algorithms were developed which addressed the problems of canopy occlusion and damaged leaves. With our proposed algorithms, different features were extracted and used to train plant and background classifiers. Finally, the efficiency and accuracy of the proposed classification methods were demonstrated and validated by experiments.
Copyright Owner
American Society of Agricultural and Biological Engineers
Copyright Date
2016
Language
en
File Format
application/pdf
Recommended Citation
Gai, Jingyao; Tang, Lie; and Steward, Brian, "Plant Localization and Discrimination using 2D+3D Computer Vision for Robotic Intra-row Weed Control" (2016). Agricultural and Biosystems Engineering Conference Proceedings and Presentations. 477.
https://lib.dr.iastate.edu/abe_eng_conf/477
Comments
This paper is from 2016 ASABE Annual International Meeting, Paper No. 162460814, pages 1-15 (doi: 10.13031/aim.20162460814). St. Joseph, Mich.: ASABE.. Posted with permission.