Use of machine learning approaches for quantification of red spider mite (Acari: Tetranychidae) damage in Urochloa sp.
| Autores principales: | , , , , , , |
|---|---|
| Formato: | Póster |
| Lenguaje: | Inglés |
| Publicado: |
International Center for Tropical Agriculture
2023
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/132802 |
Ejemplares similares: Use of machine learning approaches for quantification of red spider mite (Acari: Tetranychidae) damage in Urochloa sp.
- Plant damage assessment in Urochloa spp. to categorize resistance to spider mites (Acari: Tetranychidae) attack
- Urochloa red spider mite (Acari: Tetranychidae) identification : morphological and molecular techniques
- Screening resistance levels of a panel of Urochloa spp. infested by spider mites at ICIPE-Mbita, Kenya (Acari: Tetranychidae)
- Report on methodology for screening of spider mites resistance in a diversity panel
- Survey of natural enemies of spider mites (Acari: Tetranychidae) in citrus orchards in eastern Spain
- A simple PCR-based method for the rapid and accurate identification of spider mites (Tetranychidae) on cassava