Global Context-Aware-Based Deformable Residual Network Module for Precise Pest Recognition and Detection.

Jiao, Lin; Li, Gaoqiang; Chen, Peng; Wang, Rujing; Du, Jianming; Liu, Haiyun; Dong, Shifeng

Jiao, Lin; Li, Gaoqiang; Chen, Peng; Wang, Rujing; Du, Jianming; Liu, Haiyun; Dong, Shifeng.

Affiliation

Jiao L; National Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Internet, Anhui University, Hefei, China.
Li G; Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China.
Chen P; National Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Internet, Anhui University, Hefei, China.
Wang R; National Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Internet, Anhui University, Hefei, China.
Du J; Institutes of Physical Science and Information Technology, Anhui University, Hefei, China.
Liu H; Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China.
Dong S; Institutes of Physical Science and Information Technology, Anhui University, Hefei, China.

Front Plant Sci ; 13: 895944, 2022.

Article de En | MEDLINE | ID: mdl-35720529

Mots clés

agricultural pest; convolutional neural network; deep learning; deformable residual network; target detection

Texte intégral

Ajouter à My VHL

Imprimer

XML

PubMed Links

Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Diagnostic_studies Langue: En Journal: Front Plant Sci Année: 2022 Type de document: Article Pays d'affiliation: Chine Pays de publication: Suisse

Texte intégral

Ajouter à My VHL

Imprimer

XML

PubMed Links

Recherche sur Google