Cargando…
Analysis of Different Hyperspectral Variables for Diagnosing Leaf Nitrogen Accumulation in Wheat
Hyperspectral remote sensing is a rapid non-destructive method for diagnosing nitrogen status in wheat crops. In this study, a quantitative correlation was associated with following parameters: leaf nitrogen accumulation (LNA), raw hyperspectral reflectance, first-order differential hyperspectra, an...
Autores principales: | Tan, Changwei, Du, Ying, Zhou, Jian, Wang, Dunliang, Luo, Ming, Zhang, Yongjian, Guo, Wenshan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5976834/ https://www.ncbi.nlm.nih.gov/pubmed/29881393 http://dx.doi.org/10.3389/fpls.2018.00674 |
Ejemplares similares
-
Remotely Assessing Fraction of Photosynthetically Active Radiation (FPAR) for Wheat Canopies Based on Hyperspectral Vegetation Indexes
por: Tan, Changwei, et al.
Publicado: (2018) -
Rapid Recognition of Field-Grown Wheat Spikes Based on a Superpixel Segmentation Algorithm Using Digital Images
por: Tan, Changwei, et al.
Publicado: (2020) -
Monitoring Leaf Nitrogen Accumulation With Optimized Spectral Index in Winter Wheat Under Different Irrigation Regimes
por: Sun, Hui, et al.
Publicado: (2022) -
Estimation of Vertical Leaf Nitrogen Distribution Within a Rice Canopy Based on Hyperspectral Data
por: He, Jiaoyang, et al.
Publicado: (2020) -
The Development of Hyperspectral Distribution Maps to Predict the Content and Distribution of Nitrogen and Water in Wheat (Triticum aestivum)
por: Bruning, Brooke, et al.
Publicado: (2019)