Multi-view density-based field-road classification for agricultural machinery: DBSCAN and object detection-Reference-Cited by-同舟云学术

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Multi-view density-based field-road classification for agricultural machinery: DBSCAN and object detection

Published:2022-09 Issue: Volume:200 Page:107263
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Zhang Xiaoqiang,Chen Ying,Jia Jiepeng,Kuang Kaiming,Lan Yubin,Wu Caicong

Publisher

Elsevier BV

Subject

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

Reference24 articles.

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2. Detection;Beyerer;Mach. Vis.,2016

3. Bochkovskiy, A., Wang, C.-Y., Liao, H.-Y.M., 2020. YOLOv4: Optimal Speed and Accuracy of Object Detection.

4. Field-road trajectory segmentation for agricultural machinery based on direction distribution;Chen;Comput. Electron. Agric.,2021

5. A Cluster Separation Measure;Davies;IEEE Trans. Pattern Anal. Mach. Intell.,1979

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