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Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm
Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm
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Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm

Pan, Wen ; Wang, Xiaoyu ; Sun, Yan ; Wang, Jia ; Li, Yanjie ; Li, Sheng

Plant methods, 2023-01, Vol.19 (1), p.7-7, Article 7 [Periódico revisado por pares]

England: BioMed Central Ltd

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2
Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
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Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

Han, Liang ; Yang, Guijun ; Dai, Huayang ; Xu, Bo ; Yang, Hao ; Feng, Haikuan ; Li, Zhenhai ; Yang, Xiaodong

Plant methods, 2019-02, Vol.15 (1), p.10-10, Article 10 [Periódico revisado por pares]

England: BioMed Central Ltd

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3
Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system
Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system
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Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system

Lu, Ning ; Zhou, Jie ; Han, Zixu ; Li, Dong ; Cao, Qiang ; Yao, Xia ; Tian, Yongchao ; Zhu, Yan ; Cao, Weixing ; Cheng, Tao

Plant methods, 2019-02, Vol.15 (1), p.17-17, Article 17 [Periódico revisado por pares]

England: BioMed Central Ltd

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4
Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods
Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods
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Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods

Zhang, Juanjuan ; Cheng, Tao ; Guo, Wei ; Xu, Xin ; Qiao, Hongbo ; Xie, Yimin ; Ma, Xinming

Plant methods, 2021-05, Vol.17 (1), p.49-49, Article 49 [Periódico revisado por pares]

England: BioMed Central Ltd

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5
Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensing
Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensing
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Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensing

Qamar, Farid ; Dobler, Gregory

Plant methods, 2023-07, Vol.19 (1), p.74-74, Article 74 [Periódico revisado por pares]

England: BioMed Central Ltd

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6
Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield
Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield
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Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yield

Fei, Shuaipeng ; Li, Lei ; Han, Zhiguo ; Chen, Zhen ; Xiao, Yonggui

Plant methods, 2022-11, Vol.18 (1), p.1-119, Article 119 [Periódico revisado por pares]

London: BioMed Central Ltd

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