Estimation of Crop Height and Digital Biomass from UAV-Based Multispectral Imagery
Author:
Affiliation:
1. Agriculture and Agri-Food Canada (AAFC),Lethbridge Research and Development Centre,Lethbridge,Canada,T1J 4B1
Funder
Agriculture and Agri-Food Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10430415/10430497/10431021.pdf?arnumber=10431021
Reference6 articles.
1. Remote and proximal sensing: How far has it come to help plant breeders?
2. Evaluation of the saturation property of vegetation indices derived from sentinel-2 in mixed crop-forest ecosystem
3. A Ground Point Fitting Method for Winter Wheat Height Estimation Using UAV-Based SfM Point Cloud Data
4. Extraction of individual trees based on Canopy Height Model to monitor the state of the forest
5. NDVI as a potential tool for predicting biomass, plant nitrogen content and growth in wheat genotypes subjected to different water and nitrogen conditions
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Forage Height and Above-Ground Biomass Estimation by Comparing UAV-Based Multispectral and RGB Imagery;Sensors;2024-09-06
2. Review on Application of Vision Transformers in IoT Edge Devices for Plant Sensor Measurement Forecasting;2024 IEEE 11th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE);2024-05-31
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