Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review

首页 > 成果 > 详情

认领

导出

Link by DOI

反馈

作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Hu, Kun;Wang, Zhiyong;Coleman, Guy;Bender, Asher;Yao, Tingting;...

通讯作者：

Hu, K

作者机构：

[Hu, Kun; Hu, K; Wang, Zhiyong] Univ Sydney, Sch Comp Sci, Camperdown, NSW 2006, Australia.

[Coleman, Guy; Walsh, Michael] Univ Sydney, Sch Life & Environm Sci, Camperdown, NSW 2006, Australia.

[Bender, Asher] Univ Sydney, Australian Ctr Field Robot, Chippendale, NSW 2008, Australia.

[Yao, Tingting] Dalian Maritime Univ, Coll Informat Sci & Technol, Dalian 116000, Liaoning, Peoples R China.

[Zeng, Shan] Wuhan Polytech Univ, Coll Math & Comp Sci, Wuhan 430023, Hubei, Peoples R China.

通讯机构：

[Hu, K ] U

Univ Sydney, Sch Comp Sci, Camperdown, NSW 2006, Australia.

语种：

英文

关键词：

Weed management;Precision agriculture;Deep learning

期刊：

Precision Agriculture

ISSN：

1385-2256

年：

2024

卷：

期：

页码：

1-29

DOI：

10.1007/s11119-023-10073-1

基金类别：

Open Access funding enabled and organized by CAUL and its Member Institutions. This work was supported by the GRDC (Grains Research and Development Corporation) [Grant Number 9177493].

机构署名：

本校为其他机构

院系归属：

数学与计算机学院

摘要：

Weeds are a significant threat to agricultural productivity and the environment. The increasing demand for sustainable weed control practices has driven innovative developments in alternative weed control technologies aimed at reducing the reliance on herbicides. The barrier to adoption of these technologies for selective in-crop use is availability of suitably effective weed recognition. With the great success of deep learning in various vision tasks, many promising image-based weed detection algorithms have been developed. This paper reviews recent developments of deep learning techniques in...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问