Above-ground Biomass Wheat Estimation: Deep Learning with UAV-based RGB Images-Reference-Cited by-同舟云学术

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Above-ground Biomass Wheat Estimation: Deep Learning with UAV-based RGB Images

Published:2022-03-26 Issue:1 Volume:36 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Schreiber Lincoln Vinicius¹^ORCID,Atkinson Amorim João Gustavo²^ORCID,Guimarães Leticia³,Motta Matos Debora³,Maciel da Costa Celso³,Parraga Adriane³

Affiliation:

1. Applied Computing Graduate Program, Unisinos University, São Leopoldo, Brazil

2. Department of Informatics and Statistics, Federal University of Santa Catarina (UFSC), Florianópolis, Brazil

3. Computer Engineering, Universidade Estadual do Rio Grande do Sul (UERGS), Porto Alegre, Brazil

Funder

FAPERGS

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2055392

Reference29 articles.

1. Agisoft, L. 2018. Agisoft photoscan user manual. Professional edition, version 1.4, 1, 124.

2. Onion biomass monitoring using UAV-based RGB imaging

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

4. Deep Learning for Tomato Diseases: Classification and Symptoms Visualization

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1. Estimation of wheat biomass based on phenological identification and spectral response;Computers and Electronics in Agriculture;2024-07

2. Research on the estimation of wheat AGB at the entire growth stage based on improved convolutional features;Journal of Integrative Agriculture;2024-07

3. Review of Crop Phenotyping in Field Plot Experiments Using UAV-Mounted Sensors and Algorithms;Drones;2024-05-21

4. Aboveground biomass estimation in conifer and deciduous forests with the use of a combined approach;Biosystems Diversity;2024-05-16

5. Enhancing Aboveground Biomass Prediction through Integration of the SCDR Paradigm into the U-Like Hierarchical Residual Fusion Model;Sensors;2024-04-11

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