A precise crop row detection algorithm in complex farmland for unmanned agricultural machines-Reference-Cited by-同舟云学术

A precise crop row detection algorithm in complex farmland for unmanned agricultural machines

Published:2023-08 Issue: Volume:232 Page:1-12
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Ruan Zhiwen,Chang Penghao,Cui Shangqing,Luo Jiaqi,Gao Rui,Su Zhongbin

Funder

Ministry of Science and Technology of the People's Republic of China

Northeast Agricultural University

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference35 articles.

1. Seedling crop row extraction method based on regional growth and mean shift clustering;Aichen;Transactions of the Chinese Society of Agricultural Engineering,2021

2. CRowNet: Deep network for crop row detection in UAV images;Bah;IEEE Access,2019

3. Yolov4: Optimal speed and accuracy of object detection;Bochkovskiy;arXiv,2020

4. End-to-end object detection with transformers;Carion,2020

5. You only look one-level feature;Chen,2021

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