Validation of agronomic UAV and field measurements for tomato varieties-Reference-Cited by-同舟云学术

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Validation of agronomic UAV and field measurements for tomato varieties

Published:2019-03 Issue: Volume:158 Page:278-283
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Enciso Juan,Avila Carlos A.,Jung Jinha,Elsayed-Farag Sheren,Chang Anjin,Yeom Junho^ORCID,Landivar Juan,Maeda Murilo^ORCID,Chavez Jose C.

Funder

USDA-NIFA

Texas A&M AgriLife Research USDA-NIFA

USDA National Institute of Food and Agriculture

Hatch/Evans-Allen/McIntire Stennis

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference30 articles.

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2. Plant high-throughput phenotyping using photogrammetry and imaging techniques to measure leaf length and rosette area;An;Comput. Electron. Agric.,2016

3. Anthony, D., Elbaum, S., Lorenz, A., Detweiler, C. 2014. On crop height estimation with UAVs. In: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), Chicago, September 14–18, pp. 4805–4812, http://dx.doi.org/10.1109/IROS.2014.6943245.

4. Growth analysis;Beadle,1993

5. Estimating biomass of barley using crop surface models (CSMs) derived from UAV-based RGB imaging;Bendig;Remote Sens.,2014

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