MS-YOLOv8: multi-scale adaptive recognition and counting model for peanut seedlings under salt-alkali stress from remote sensing
This research provides valuable insights for crop recognition under extreme environmental stress and lays a theoretical foundation for the development of intelligent production equipment.
Authors
- Longgang Zhao (ORCID: https://orcid.org/0000-0001-9254-1952)
- Igor Smirnov (ORCID: https://orcid.org/0000-0001-9992-1261)
- Juan Li (ORCID: https://orcid.org/0000-0001-5441-3845)
- Dongwei Wang (ORCID: https://orcid.org/0000-0001-9365-1854)
- Jiasheng Wang
- Fan Zhang (ORCID: https://orcid.org/0009-0001-0721-340X)
Institutions
- Qingdao Agricultural University (CN)
- Federal Scientific Agroengineering Center VIM (RU)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2024-11-07
- DOI
- https://doi.org/10.3389/fpls.2024.1434968
- Citations
- 3
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 1.80
Funders
- National Natural Science Foundation of China
- Key Technology Research and Development Program of Shandong
- Modern Agricultural Technology Industry System of Shandong province