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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書誌詳細
出版年:PLoS One
主要な著者: 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
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2016
主題:
Research Article
オンライン･アクセス: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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