Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ezekiel Bowden"'
Autor:
Yeyin Shi, J Alex Thomasson, Seth C Murray, N Ace Pugh, William L Rooney, Sanaz Shafian, Nithya Rajan, Gregory Rouze, Cristine L S Morgan, Haly L Neely, Aman Rana, Muthu V Bagavathiannan, James Henrickson, Ezekiel Bowden, John Valasek, Jeff Olsenholler, Michael P Bishop, Ryan Sheridan, Eric B Putman, Sorin Popescu, Travis Burks, Dale Cope, Amir Ibrahim, Billy F McCutchen, David D Baltensperger, Robert V Avant, Misty Vidrine, Chenghai Yang
Publikováno v:
PLoS ONE, Vol 11, Iss 7, p e0159781 (2016)
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-col
Externí odkaz:
https://doaj.org/article/3967588de60e432ebd549c42427cc162
Autor:
John Valasek, Ezekiel Bowden
Publikováno v:
AIAA Scitech 2019 Forum.
Publikováno v:
2018 AIAA Information Systems-AIAA Infotech @ Aerospace.
Publikováno v:
2017 International Conference on Unmanned Aircraft Systems (ICUAS).
Common open-source flight controllers have the ability to log state data, but they often are unable to log at the rates required to obtain good identification of model characteristics. They are also often unable to log important flow parameters such
Autor:
James V. Henrickson, Yeyin Shi, Haly L. Neely, John Valasek, Cristine L.S. Morgan, Ezekiel Bowden
Publikováno v:
SPIE Proceedings.
As small unmanned aircraft systems become increasingly affordable, reliable, and formally recognized under federal regulation, they become increasingly attractive as novel platforms for civil applications. This paper details the development and demon
Autor:
John Valasek, Yeyin Shi, Dongyan Zhang, Seth C. Murray, Jeffrey Olsenholler, J. Alex Thomasson, William L. Rooney, Ezekiel Bowden, N. Ace Pugh, James V. Henrickson
Publikováno v:
SPIE Proceedings.
Recent development of unmanned aerial systems has created opportunities in automation of field-based high-throughput phenotyping by lowering flight operational cost and complexity and allowing flexible re-visit time and higher image resolution than s
Autor:
N. Ace Pugh, Cristine L.S. Morgan, Dale Cope, Muthu Bagavathiannan, Yeyin Shi, Sorin C. Popescu, Michael P. Bishop, William L. Rooney, E. Putman, Ezekiel Bowden, Aman Rana, Robert V. Avant Jr., Sanaz Shafian, Misty Vidrine, Jeffrey Olsenholler, Chenghai Yang, Seth C. Murray, John Valasek, Gregory Rouze, Amir M. H. Ibrahim, James V. Henrickson, R. Sheridan, Haly L. Neely, Travis Burks, Nithya Rajan, David D. Baltensperger, Billy F. McCutchen, J. Alex Thomasson
Publikováno v:
PLoS ONE, Vol 11, Iss 7, p e0159781 (2016)
PLoS ONE
PLoS ONE
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-col