Data collection and managing of remote sensing data for Urochloa spp. and Megathyrsus maximus breeding pipelines
Remote sensing has expanded opportunities to enhance genetic gain in breeding programs by increasing selection accuracy, reducing evaluation time, and enabling the incorporation of additional traits through association with multiple color indices (Araus et al., 2018). One of the main advances in rec...
| Autores principales: | , , , |
|---|---|
| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/169567 |
Ejemplares similares: Data collection and managing of remote sensing data for Urochloa spp. and Megathyrsus maximus breeding pipelines
- Comparison of the use of multispectral orthomosaics and RGB panoramic images for plant cover calculation in Urochloa hybrids
- From pixels to plant health: Accurate detection of banana Xanthomonas wilt in complex African landscapes using high-resolution UAV images and deep learning
- Forages ROIs: Automated forage grass detection in aerial imagery
- Dataset: Forage grasses in crop fields from ultra-high spatial resolution UAV-based imagery
- Cropping systems mapping through high resolution imagery
- Exploring the prospects of UAV-Remotely sensed data in estimating productivity of Maize crops in typical smallholder farms of Southern Africa