Harnessing UAVs and deep learning for accurate grass weed detection in wheat fields: a study on biomass and yield implications
Abstract Weeds are undesired plants competing with crops for light, nutrients, and water, negatively impacting crop growth. Identifying weeds in wheat fields accurately is important for precise pesticide spraying and targeted weed control. Grass weeds in their early growth stages look very similar t...
Guardat en:
| Autors principals: | , , , , , , , , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BMC
2024-09-01
|
| Col·lecció: | Plant Methods |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1186/s13007-024-01272-6 |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|