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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....
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
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 |
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