Improved weed mapping in corn fields by combining UAV-based spectral, textural, structural, and thermal measurements

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：

Xu, Binyuan;Meng, Ran;Chen, Gengshen;Liang, Linlin;Lv, Zhengang;...

通讯作者：

Ran Meng<&wdkj&>Ran Meng Ran Meng Ran Meng

作者机构：

[Meng, Ran; Lv, Zhengang; Zhou, Longfei; Xu, Binyuan; Sun, Rui] Huazhong Agr Univ, Coll Resources & Environm, Wuhan, Peoples R China.

[Meng, Ran] HIT Inst Artificial Intelligence Co Ltd, Harbin, Peoples R China.

[Yang, Wanneng; Chen, Gengshen] Huazhong Agr Univ, Natl Ctr Plant Gene Res Wuhan, Natl Key Lab Crop Genet Improvement, Hubei Hongshan Lab, Wuhan, Peoples R China.

[Liang, Linlin] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing, Peoples R China.

[Zhao, Feng] Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan, Peoples R China.

通讯机构：

[Ran Meng; Ran Meng Ran Meng Ran Meng] C

College of Resources and Environment, Huazhong Agricultural University, Wuhan, China<&wdkj&>HIT Institute for Artificial Intelligence Co. Ltd, Harbin, China

语种：

英文

关键词：

multisource remote sensing;thermal feature;machine learning;weed mapping;smart agriculture

期刊：

Pest Management Science

ISSN：

1526-498X

年：

2023

卷：

期：

页码：

2591-2602

DOI：

10.1002/ps.7443

基金类别：

Key Research and Development Program of Heilongjiang, China [2022ZX01A25]; HZAU Research Startup Fund [11041810341, 41901382]; National Natural Science Foundation of China [SZYJY2022014]; Huazhong Agricultural University; Shenzhen Institute of Agricultural Genomics; [11041810340]

机构署名：

本校为其他机构

院系归属：

城市与环境科学学院

摘要：

Thermal measurement is complementary to weed mapping and the combination of texture, structure, and thermal features achieves the best mapping accuracy. Abstract BACKGROUND Spatial‐explicit weed information is critical for controlling weed infestation and reducing corn yield losses. The development of unmanned aerial vehicle (UAV)‐based remote sensing presents an unprecedented opportunity for efficient, timely weed mapping. Spectral, textural, and structural measurements have been used for weed mapping, whereas thermal measurements—for examp...

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

Improved weed mapping in corn fields by combining UAV-based spectral, textural, structural, and thermal measurements

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