Cargando…
Estimation of Leaf Nitrogen Content in Wheat Based on Fusion of Spectral Features and Deep Features from Near Infrared Hyperspectral Imagery
Nitrogen is an important indicator for monitoring wheat growth. The rapid development and wide application of non-destructive detection provide many approaches for estimating leaf nitrogen content (LNC) in wheat. Previous studies have shown that better results have been obtained in the estimation of...
Autores principales: | Yang, Baohua, Ma, Jifeng, Yao, Xia, Cao, Weixing, Zhu, Yan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7831037/ https://www.ncbi.nlm.nih.gov/pubmed/33477350 http://dx.doi.org/10.3390/s21020613 |
Ejemplares similares
-
Estimation Method of Soluble Solid Content in Peach Based on Deep Features of Hyperspectral Imagery
por: Yang, Baohua, et al.
Publicado: (2020) -
Deep Spectral-Spatial Features of Near Infrared Hyperspectral Images for Pixel-Wise Classification of Food Products
por: Zhu, Hongyan, et al.
Publicado: (2020) -
Cross-Category Tea Polyphenols Evaluation Model Based on Feature Fusion of Electronic Nose and Hyperspectral Imagery
por: Yang, Baohua, et al.
Publicado: (2019) -
Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles
por: Yang, Baohua, et al.
Publicado: (2019) -
Rapid Prediction of Adulteration Content in Atractylodis rhizoma Based on Data and Image Features Fusions from Near-Infrared Spectroscopy and Hyperspectral Imaging Techniques
por: Jiang, Zhiwei, et al.
Publicado: (2023)