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Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production

Published Online: 2019-06-01

Published Print: 2019-12

Authors

Bauer, Alan

Bostrom, Aaron George

Ball, Joshua

Applegate, Christopher

Cheng, Tao

Laycock, Stephen

Rojas, Sergio Moreno

Kirwan, Jacob

Zhou, Ji https://orcid.org/0000-0002-5752-5524
Funding

Funding for this research was provided by:

RCUK | Biotechnology and Biological Sciences Research Council (BB/P016855/1, BBS/E/T/000PR9785, BB/CSP17270/1, BB/CSP17270/1, BB/P016855/1, BBS/E/T/000PR9785)

Newton UK-China Agri-Tech Innovation Grant
License Information

Text and Data Mining valid from 2019-06-01

Version of Record valid from 2019-06-01
More Information

Article History

Received: 8 January 2019

Revised: 1 April 2019

Accepted: 8 April 2019

First Online: 1 June 2019

Conflict of interest

: The authors declare that they have no conflict of interest.

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