AI-powered high-throughput phenotyping of seed yield in Urochloa: a deep learning approach
| Main Authors: | , , , , , |
|---|---|
| Format: | Poster |
| Language: | Inglés |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/159969 |
Similar Items: AI-powered high-throughput phenotyping of seed yield in Urochloa: a deep learning approach
- High-resolution image dataset for the automatic classification of phenological stage and identification of racemes in Urochloa spp. hybrids
- RGB Image Dataset of Urochloa Hybrids for High-Throughput Phenotyping and Artificial Intelligence Applications
- BrRacemeCounter: Mask R-CNN for Raceme Instance Segmentation
- Top view RGB image dataset of Urochloa hybrids for HTP and AI applications
- Development of AI methods for seed yield prediction using RGB images: Progress Report
- AI-powered tool for spidermite damage assessment in tropical grasses