The potential for RGB images obtained using unmanned aerial vehicle to assess and predict yield in sugarcane fields-Reference-Cited by-同舟云学术

The potential for RGB images obtained using unmanned aerial vehicle to assess and predict yield in sugarcane fields

Published:2018-03-13 Issue:15-16 Volume:39 Page:5402-5414
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Sanches Guilherme Martineli¹^ORCID,Duft Daniel Garbellini¹,Kölln Oriel Tiago¹,Luciano Ana Claudia dos Santos¹,De Castro Sérgio Gustavo Quassi¹,Okuno Fábio Makoto¹,Franco Henrique Coutinho Junqueira¹

Affiliation:

1. Brazilian Bioethanol Science and Technology Laboratory (CTBE), Agricultural Division, Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, Sao Paulo, Brazil

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1448484

Reference36 articles.

1. The application of remote sensing techniques to sugarcane (Saccharum spp. hybrid) production: a review of the literature

2. Using SPOT data and leaf area index for rice yield estimation in Egyptian Nile delta

3. Potentials and limits of vegetation indices for LAI and APAR assessment

4. Spatio-temporal variability of sugarcane fields and recommendations for yield forecast using NDVI

5. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

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