Photogrammetry for the estimation of wheat biomass and harvest index-Reference-Cited by-同舟云学术

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Photogrammetry for the estimation of wheat biomass and harvest index

Published:2018-02 Issue: Volume:216 Page:165-174
ISSN:0378-4290
Container-title:Field Crops Research
language:en
Short-container-title:Field Crops Research

Author:

Walter James,Edwards James,McDonald Glenn,Kuchel Haydn

Funder

South Australian Grains Industry Trust

Grains Research and Development Corporation

University of Adelaide School of Agriculture Food and Wine

Australian Government Research Training Program

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science

Reference38 articles.

1. Comparison of crop canopy reflectance sensors used to identify sugarcane biomass and nitrogen status;Amaral;Precis. Agric.,2015

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

3. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley;Bendig;Int. J. Appl. Earth Obs. Geoinf.,2015

4. RMA: Software for Reduced Major Axis Regression;Bohonak,2004

5. Unmanned aerial systems for photogrammetry and remote sensing: a review;Colomina;ISPRS J. Photogramm. Remote Sens.,2014

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