High-Throughput UAV Image-Based Method Is More Precise Than Manual Rating of Herbicide Tolerance

The traditional visual rating system is labor-intensive, time-consuming, and prone to human error. Unmanned aerial vehicle (UAV) imagery-based vegetation indices (VI) have potential applications in high-throughput plant phenotyping. The study objective is to determine if UAV imagery provides accurat...

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Detalles Bibliográficos
Autores principales: Duddu, Hema S. N., Johnson, Eric N., Willenborg, Christian J., Shirtliffe, Steven J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706330/
https://www.ncbi.nlm.nih.gov/pubmed/33313532
http://dx.doi.org/10.34133/2019/6036453

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706330/
https://www.ncbi.nlm.nih.gov/pubmed/33313532
http://dx.doi.org/10.34133/2019/6036453

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