Research on plant disease diagnosis technology based on OpenCV technology

Jinmeng Zhang; Renlong Zhang; Tao Hong; Michel Kadoch; Mohamed Cheriet; Xianzhi Lu; Kaijun Guo

doi:10.1109/BMSB49480.2020.9379921

Research on plant disease diagnosis technology based on OpenCV technology

Jinmeng Zhang
, Renlong Zhang
, Tao Hong
, Michel Kadoch
, Mohamed Cheriet
, Xianzhi Lu
, Kaijun Guo

电子信息工程学院

Beijing University of Agriculture
Yunnan Innovation Institute·BUAA
École de technologie supérieure
Chongqing College of Electronic Engineering

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

3 引用（Scopus）

摘要

Plant diseases are one of the principal factors that affect the normal growth of plants throughout the growth process. In order to solve this problem that affects the healthy growth of plants, it is proposed to use effective methods to diagnose and treat plant diseases to ensure the normal growth of plants. Many existing diagnostic technologies have certain defects, and in order to effectively solve the shortcomings of this type of plant disease diagnosis technology, a new information method of plant disease and insect disease and disease diagnosis based on the Internet of Things sensor network technology and OpenCV technology is proposed. Through accurate detection of plant growth status and intelligent processing of plant disease images, more accurate diagnosis results are obtained. This method can effectively improve work efficiency and achieve full utilization of resources.

源语言	英语
主期刊名	15th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2020
出版商	IEEE Computer Society
ISBN（电子版）	9781728157849
DOI	https://doi.org/10.1109/BMSB49480.2020.9379921
出版状态	已出版 - 27 10月 2020
活动	15th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2020 - Paris, 法国期限: 27 10月 2020 → 29 10月 2020

出版系列

姓名	IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB
卷	2020-October
ISSN（印刷版）	2155-5044
ISSN（电子版）	2155-5052

会议

会议	15th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2020
国家/地区	法国
市	Paris
时期	27/10/20 → 29/10/20

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 3 良好健康与福祉

访问文件

10.1109/BMSB49480.2020.9379921

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhang, J., Zhang, R., Hong, T., Kadoch, M., Cheriet, M., Lu, X., & Guo, K. (2020). Research on plant disease diagnosis technology based on OpenCV technology. 在 15th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2020 文章 9379921 (IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB; 卷 2020-October). IEEE Computer Society. https://doi.org/10.1109/BMSB49480.2020.9379921

@inproceedings{ad97853a0235474eaf1182efe4ea4bc9,

title = "Research on plant disease diagnosis technology based on OpenCV technology",

abstract = "Plant diseases are one of the principal factors that affect the normal growth of plants throughout the growth process. In order to solve this problem that affects the healthy growth of plants, it is proposed to use effective methods to diagnose and treat plant diseases to ensure the normal growth of plants. Many existing diagnostic technologies have certain defects, and in order to effectively solve the shortcomings of this type of plant disease diagnosis technology, a new information method of plant disease and insect disease and disease diagnosis based on the Internet of Things sensor network technology and OpenCV technology is proposed. Through accurate detection of plant growth status and intelligent processing of plant disease images, more accurate diagnosis results are obtained. This method can effectively improve work efficiency and achieve full utilization of resources.",

keywords = "Internet of Things, OpenCV, Plant Disease, Unmanned Aerial VehicleSmart Farm",

author = "Jinmeng Zhang and Renlong Zhang and Tao Hong and Michel Kadoch and Mohamed Cheriet and Xianzhi Lu and Kaijun Guo",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 15th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2020 ; Conference date: 27-10-2020 Through 29-10-2020",

year = "2020",

month = oct,

day = "27",

doi = "10.1109/BMSB49480.2020.9379921",

language = "英语",

series = "IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB",

publisher = "IEEE Computer Society",

booktitle = "15th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2020",

address = "美国",

}

Zhang, J, Zhang, R, Hong, T, Kadoch, M, Cheriet, M, Lu, X & Guo, K 2020, Research on plant disease diagnosis technology based on OpenCV technology. 在 15th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2020., 9379921, IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB, 卷 2020-October, IEEE Computer Society, 15th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2020, Paris, 法国, 27/10/20. https://doi.org/10.1109/BMSB49480.2020.9379921

Research on plant disease diagnosis technology based on OpenCV technology. / Zhang, Jinmeng; Zhang, Renlong; Hong, Tao 等.
15th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2020. IEEE Computer Society, 2020. 9379921 (IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB; 卷 2020-October).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Research on plant disease diagnosis technology based on OpenCV technology

AU - Zhang, Jinmeng

AU - Zhang, Renlong

AU - Hong, Tao

AU - Kadoch, Michel

AU - Cheriet, Mohamed

AU - Lu, Xianzhi

AU - Guo, Kaijun

PY - 2020/10/27

Y1 - 2020/10/27

N2 - Plant diseases are one of the principal factors that affect the normal growth of plants throughout the growth process. In order to solve this problem that affects the healthy growth of plants, it is proposed to use effective methods to diagnose and treat plant diseases to ensure the normal growth of plants. Many existing diagnostic technologies have certain defects, and in order to effectively solve the shortcomings of this type of plant disease diagnosis technology, a new information method of plant disease and insect disease and disease diagnosis based on the Internet of Things sensor network technology and OpenCV technology is proposed. Through accurate detection of plant growth status and intelligent processing of plant disease images, more accurate diagnosis results are obtained. This method can effectively improve work efficiency and achieve full utilization of resources.

AB - Plant diseases are one of the principal factors that affect the normal growth of plants throughout the growth process. In order to solve this problem that affects the healthy growth of plants, it is proposed to use effective methods to diagnose and treat plant diseases to ensure the normal growth of plants. Many existing diagnostic technologies have certain defects, and in order to effectively solve the shortcomings of this type of plant disease diagnosis technology, a new information method of plant disease and insect disease and disease diagnosis based on the Internet of Things sensor network technology and OpenCV technology is proposed. Through accurate detection of plant growth status and intelligent processing of plant disease images, more accurate diagnosis results are obtained. This method can effectively improve work efficiency and achieve full utilization of resources.

KW - Internet of Things

KW - OpenCV

KW - Plant Disease

KW - Unmanned Aerial VehicleSmart Farm

UR - https://www.scopus.com/pages/publications/85103451574

U2 - 10.1109/BMSB49480.2020.9379921

DO - 10.1109/BMSB49480.2020.9379921

M3 - 会议稿件

AN - SCOPUS:85103451574

T3 - IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB

BT - 15th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2020

PB - IEEE Computer Society

T2 - 15th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2020

Y2 - 27 October 2020 through 29 October 2020

ER -

Zhang J, Zhang R, Hong T, Kadoch M, Cheriet M, Lu X 等. Research on plant disease diagnosis technology based on OpenCV technology. 在 15th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2020. IEEE Computer Society. 2020. 9379921. (IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB). doi: 10.1109/BMSB49480.2020.9379921

Research on plant disease diagnosis technology based on OpenCV technology

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此