Maize (Zea mays L.) seedling detection based on the fusion of a modified deep learning model and a n...
Maize (Zea mays L.) seedling detection based on the fusion of a modified deep learning model and a novel Lidar points projecting strategy
About this item
Full title
Author / Creator
Publisher
Beijing: International Journal of Agricultural and Biological Engineering (IJABE)
Journal title
Language
English
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Publication information
Publisher
Beijing: International Journal of Agricultural and Biological Engineering (IJABE)
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More information
Scope and Contents
Contents
Accurate crop detection is the prerequisite for the operation of intelligent agricultural machinery. Image recognition usually lacks accurate orientation information, and Lidar point clouds are not easy to distinguish different objects. Fortunately, the fusion of images and Lidar points can complement each other. This research aimed to detect maize...
Alternative Titles
Full title
Maize (Zea mays L.) seedling detection based on the fusion of a modified deep learning model and a novel Lidar points projecting strategy
Authors, Artists and Contributors
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Record Identifier
TN_cdi_proquest_journals_2740559322
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2740559322
Other Identifiers
ISSN
1934-6344
E-ISSN
1934-6352
DOI
10.25165/j.ijabe.20221505.7830
