Leaf phenotypic difference analysis and variety recognition of tea cultivars based on multispectral imaging technology

Author:

Cao Qiong,Xu Ze,Xu Bo,Yang Haibin,Wang Fan,Chen Longyue,Jiang Xiangtai,Zhao Chunjiang,Jiang Ping,Wu Quan,Yang Guijun

Publisher

Elsevier BV

Reference33 articles.

1. A review of remote sensing methods for biomass feedstock production;Ahamed;Biomass Bioenergy,2011

2. Robustness and accuracy evaluation of moisture prediction model for black tea withering process using hyperspectral imaging;An;Spectrochim. Acta A,2022

3. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley;Bendig;Int J. Appl. Earth Obs.,2015

4. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density;Broge;Remote Sens. Environ.,2001

5. Discrimination of tea plant variety using in-situ multispectral imaging system and multi-feature analysis;Cao;Comput. Electron Agr.,2022

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