Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research

Advances in automation and data science have led agriculturists to seek real-time, high-quality, high-volume crop data to accelerate crop improvement through breeding and to optimize agronomic practices. Breeders have recently gained massive data-collection capability in genome sequencing of plants....

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Detalles Bibliográficos
Autores principales: Shi, Yeyin, Thomasson, J. Alex, Murray, Seth C., Pugh, N. Ace, Rooney, William L., Shafian, Sanaz, Rajan, Nithya, Rouze, Gregory, Morgan, Cristine L. S., Neely, Haly L., Rana, Aman, Bagavathiannan, Muthu V., Henrickson, James, Bowden, Ezekiel, Valasek, John, Olsenholler, Jeff, Bishop, Michael P., Sheridan, Ryan, Putman, Eric B., Popescu, Sorin, Burks, Travis, Cope, Dale, Ibrahim, Amir, McCutchen, Billy F., Baltensperger, David D., Avant, Robert V., Vidrine, Misty, Yang, Chenghai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4966954/
https://www.ncbi.nlm.nih.gov/pubmed/27472222
http://dx.doi.org/10.1371/journal.pone.0159781

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4966954/
https://www.ncbi.nlm.nih.gov/pubmed/27472222
http://dx.doi.org/10.1371/journal.pone.0159781

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