Deep learning‐based laser weed control compared to conventional herbicide application across three vegetable production systems
These findings demonstrate that multiple laser passes can control weeds without damaging crops, leading to higher yields than conventional herbicides. Further research is needed to optimize laser weeding across different environments and weed species, and to evaluate commercial units with increased laser capacity and faster processing speeds. © 2025 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Authors
- Thierry E. Besançon (ORCID: https://orcid.org/0000-0003-0194-9675)
- Lynn M. Sosnoskie (ORCID: https://orcid.org/0000-0002-1892-7934)
- Aleah L. Butler-Jones (ORCID: https://orcid.org/0009-0001-1783-4437)
- Kylie Bill
- Wesley M Bouchelle (ORCID: https://orcid.org/0000-0001-6811-8601)
Institutions
- Rutgers, The State University of New Jersey (US)
- American University (US)
- Cornell University (US)
- New York State Department of Agriculture and Markets (US)
Publication Details
- Journal
- Pest Management Science
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1002/ps.8912
- Citations
- 7
- Primary Topic
- Weed Control and Herbicide Applications
- Type
- article
- Field-Weighted Citation Impact
- 12.25
Funders
- New Jersey Agricultural Experiment Station