Editorial: Weed identification and integrated control

Pei Wang; Gerassimos Peteinatos; Aspasia Efthimiadou; Wei Ma

doi:10.3389/fpls.2023.1351481

Editorial: Weed identification and integrated control

Front Plant Sci. 2023 Dec 13:14:1351481. doi: 10.3389/fpls.2023.1351481. eCollection 2023.

Authors

Pei Wang¹, Gerassimos Peteinatos², Aspasia Efthimiadou², Wei Ma³

Affiliations

¹ College of Engineering and Technology, Key Laboratory of Agricultural Equipment for Hilly and Mountain Areas, Southwest University, Chongqing, China.
² Soil and Water Resources Institute, Hellenic Agricultural Organization - ELGO, Athens, Greece.
³ Institute of Urban Agriculture, Chinese Academy of Agricultural Sciences, Chengdu, China.

No abstract available

Keywords: artificial intelligence; data resource; integrated control; mechanical weed control; weed identification.

Publication types

Editorial

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The authors acknowledge the projects by the National Natural Science Foundation of China, grant number 32201651 and 32001425; the Fundamental Research Funds for the Central Universities (SWU-KT22024); the Natural Science Foundation of Chongqing, China, grant numbers cstc2020jcyj-msxmX0414 and cstc2020jcyj-msxmX0459; the Open Funding of the Key Laboratory of Modern Agricultural Equipment and Technology (Jiangsu University), grant numbers MAET202105; Local Financial of National Agricultural Science & Technology Center, Chengdu, grant number NASC2021KR02; the Open Funding of the Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province (Zhejiang University).