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....

Szczegółowa specyfikacja

Zapisane w:
Opis bibliograficzny
Wydane w:PLoS One
Główni autorzy: 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
Format: Artigo
Język:Inglês
Wydane: Public Library of Science 2016
Hasła przedmiotowe:
Research Article
Dostęp online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4966954/
https://ncbi.nlm.nih.gov/pubmed/27472222
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0159781
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