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Material Type: Artigo
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Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithmPan, Wen ; Wang, Xiaoyu ; Sun, Yan ; Wang, Jia ; Li, Yanjie ; Li, ShengPlant methods, 2023-01, Vol.19 (1), p.7-7, Article 7 [Periódico revisado por pares]England: BioMed Central LtdTexto completo disponível |
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Material Type: Artigo
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Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing dataHan, Liang ; Yang, Guijun ; Dai, Huayang ; Xu, Bo ; Yang, Hao ; Feng, Haikuan ; Li, Zhenhai ; Yang, XiaodongPlant methods, 2019-02, Vol.15 (1), p.10-10, Article 10 [Periódico revisado por pares]England: BioMed Central LtdTexto completo disponível |
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Material Type: Artigo
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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 systemLu, Ning ; Zhou, Jie ; Han, Zixu ; Li, Dong ; Cao, Qiang ; Yao, Xia ; Tian, Yongchao ; Zhu, Yan ; Cao, Weixing ; Cheng, TaoPlant methods, 2019-02, Vol.15 (1), p.17-17, Article 17 [Periódico revisado por pares]England: BioMed Central LtdTexto completo disponível |
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Material Type: Artigo
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Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methodsZhang, Juanjuan ; Cheng, Tao ; Guo, Wei ; Xu, Xin ; Qiao, Hongbo ; Xie, Yimin ; Ma, XinmingPlant methods, 2021-05, Vol.17 (1), p.49-49, Article 49 [Periódico revisado por pares]England: BioMed Central LtdTexto completo disponível |
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Material Type: Artigo
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Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensingQamar, Farid ; Dobler, GregoryPlant methods, 2023-07, Vol.19 (1), p.74-74, Article 74 [Periódico revisado por pares]England: BioMed Central LtdTexto completo disponível |
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Material Type: Artigo
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Combining novel feature selection strategy and hyperspectral vegetation indices to predict crop yieldFei, Shuaipeng ; Li, Lei ; Han, Zhiguo ; Chen, Zhen ; Xiao, YongguiPlant methods, 2022-11, Vol.18 (1), p.1-119, Article 119 [Periódico revisado por pares]London: BioMed Central LtdTexto completo disponível |