Deep learning‐based weed detection for precision herbicide application in turf
Implementing herbicide susceptibility-based weed mapping facilitates targeted herbicide application by directing the nozzle to the grid cells containing the weeds susceptible to the herbicides. Moreover, the strategic integration of herbicide susceptibility-based weed mapping with optimized path planning for the spraying mechanism can be adeptly implemented on smart sprayers, which could effectively reduce the herbicide input. © 2025 Society of Chemical Industry.
Authors
- Jialin Yu (ORCID: https://orcid.org/0000-0003-0287-5081)
- Hua Zhao (ORCID: https://orcid.org/0000-0002-5761-2089)
- Xiaojun Jin (ORCID: https://orcid.org/0000-0001-5087-6877)
- Xiaotong Kong
- Kang Han
- Yong Chen (ORCID: https://orcid.org/0000-0001-5857-6086)
- J. D. Lei
- Qiuyu Zu (ORCID: https://orcid.org/0009-0009-1502-9504)
Institutions
- Nanjing Forestry University (CN)
- Shandong Academy of Agricultural Sciences (CN)
Publication Details
- Journal
- Pest Management Science
- Published
- 2025-02-28
- DOI
- https://doi.org/10.1002/ps.8728
- Citations
- 7
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 12.25
Funders
- National Natural Science Foundation of China