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  1. Article

    Open Access

    Comparison of two novel methods for counting wheat ears in the field with terrestrial LiDAR

    The metrics for assessing the yield of crops in the field include the number of ears per unit area, the grain number per ear, and the thousand-grain weight. Typically, the ear number per unit area contributes ...

    Yangyang Gu, Hongxu Ai, Tai Guo, Peng Liu, Yongqing Wang, Hengbiao Zheng in Plant Methods (2023)

  2. No Access

    Article

    An assessment of multi-view spectral information from UAV-based color-infrared images for improved estimation of nitrogen nutrition status in winter wheat

    Rapid, accurate and non-destructive assessment of nutrition status is beneficial not only to the optimization of fertilization strategy in crop production, but also to the improvement of crop productivity. Unm...

    Ning Lu, Yapeng Wu, Hengbiao Zheng, **a Yao, Yan Zhu, Weixing Cao in Precision Agriculture (2022)

  3. No Access

    Article

    Improved estimation of rice aboveground biomass combining textural and spectral analysis of UAV imagery

    Crop aboveground biomass (AGB) is one of the most important indicators in crop breeding and crop management, and can be used for crop yield prediction. A number of vegetation indices (VIs) have been proposed t...

    Hengbiao Zheng, Tao Cheng, Meng Zhou, Dong Li, **a Yao in Precision Agriculture (2019)

  4. Article

    Open Access

    Estimation of area- and mass-based leaf nitrogen contents of wheat and rice crops from water-removed spectra using continuous wavelet analysis

    The visible and near infrared region has been widely used to estimate the leaf nitrogen (N) content based on the correlation of N with chlorophyll and deep absorption valleys of chlorophyll in this region. How...

    Dong Li, Xue Wang, Hengbiao Zheng, Kai Zhou, **a Yao, Yongchao Tian in Plant Methods (2018)