Editorial: Deep learning in crop diseases and insect pests

Peng Chen; Rujing Wang; Po Yang

doi:10.3389/fpls.2023.1145458

Editorial: Deep learning in crop diseases and insect pests

Front Plant Sci. 2023 Feb 13:14:1145458. doi: 10.3389/fpls.2023.1145458. eCollection 2023.

Authors

Peng Chen¹, Rujing Wang², Po Yang³

Affiliations

¹ National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science & Information Technology and School of Internet, Anhui University, Hefei, Anhui, China.
² Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China.
³ Department of Computer Science, Sheffield University, Sheffield, United Kingdom.

No abstract available

Keywords: BigData analysis; crop diseases and insect pests; deep learning; feature representation; plant sensor.

Publication types

Editorial

Grants and funding

This study was supported by the National Natural Science Foundation of China (Nos. 62072002, 62273001), the Major Special Science and Technology Project of Anhui Province (202003A06020016), and the Special Fund for Anhui Agriculture Research System.