Maize Leaf Biomass Retrieval at Multi-growing Stage Using UAV Multispectral Images Based on 3D Radiative Transfer Process-guided Machine Learning-Reference-Cited by-同舟云学术

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Maize Leaf Biomass Retrieval at Multi-growing Stage Using UAV Multispectral Images Based on 3D Radiative Transfer Process-guided Machine Learning

Published:2024-07-15 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)
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Author:

Zhao Dan¹,Yang Hao¹,Yang Guijun¹,Xu Xingang¹,Xu Bo¹

Affiliation:

1. Beijing Academy of Agriculture and Forestry Sciences,Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture and Rural Affairs, Information Technology Research Center,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10660664/10660668/10660808.pdf?arnumber=10660808

Reference24 articles.

1. Maize Yield and Planting Date Relationship: A Synthesis-Analysis for US High-Yielding Contest-Winner and Field Research Data

2. Assimilating a synthetic Kalman filter leaf area index series into the WOFOST model to improve regional winter wheat yield estimation

3. AquaCrop—The FAO Crop Model to Simulate Yield Response to Water: III. Parameterization and Testing for Maize

4. China can be self-sufficient in maize production by 2030 with optimal crop management

5. Winter wheat yield estimation based on multi-source medium resolution optical and radar imaging data and the AquaCrop model using the particle swarm optimization algorithm

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