High-throughput phenotyping of soybean maturity using time Series UAV imagery and convolutional neural networks.
Abstract: Soybean maturity is a trait of critical importance for the development of new soybean cultivars, nevertheless, its characterization based on visual ratings has many challenges.Unmanned aerial vehicles (UAVs) imagery-based high-throughput phenotyping methodologieshave been proposed as an al...
Zapisane w:
| 1. autor: | |
|---|---|
| Kolejni autorzy: | , , , |
| Format: | article |
| Język: | angielski |
| Wydane: |
2020
|
| Hasła przedmiotowe: | |
| Dostęp online: | https://ainfo.inia.uy/consulta/busca?b=pc&id=61456&biblioteca=vazio&busca=61456&qFacets=61456 |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
|
Podobne zapisy: High-throughput phenotyping of soybean maturity using time Series UAV imagery and convolutional neural networks.
- Expression of genes related to soil flooding tolerance in Soybeans.
- Maturity prediction in soybean breeding using aerial images and the random forest machine learning algorithm.
- First record of Soybean Stem Fly Melanagromyza sojae (Zehntner, 1901) (Diptera, Agromyzidae) in Uruguay confirmed by DNA barcoding.
- CRONOSOJA: a daily time-step hierarchical model predicting soybean development across maturity groups in the Southern Cone.
- Analysis of thioredoxins and glutaredoxins in soybean: evidence of translational regulation under water restriction
- Breeding season of the South American fur seal (Arctocephalus Australis, Otariidae: Carnivora): new data for establishing independent evolutionary histories?