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....

Cijeli opis

Spremljeno u:
Bibliografski detalji
Izdano u:PLoS One
Glavni autori: 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
Jezik:Inglês
Izdano: Public Library of Science 2016
Teme:
Research Article
Online pristup: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
Oznake: Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!

Similar Items