Cargando…
Non-Destructive Evaluation of the Leaf Nitrogen Concentration by In-Field Visible/Near-Infrared Spectroscopy in Pear Orchards
Non-destructive and timely determination of leaf nitrogen (N) concentration is urgently needed for N management in pear orchards. A two-year field experiment was conducted in a commercial pear orchard with five N application rates: 0 (N0), 165 (N1), 330 (N2), 660 (N3), and 990 (N4) kg·N·ha(−1). The...
Autores principales: | Wang, Jie, Shen, Changwei, Liu, Na, Jin, Xin, Fan, Xueshan, Dong, Caixia, Xu, Yangchun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375824/ https://www.ncbi.nlm.nih.gov/pubmed/28282884 http://dx.doi.org/10.3390/s17030538 |
Ejemplares similares
-
Adaboost-Based Machine Learning Improved the Modeling Robust and Estimation Accuracy of Pear Leaf Nitrogen Concentration by In-Field VIS-NIR Spectroscopy
por: Wang, Jie, et al.
Publicado: (2021) -
Nondestructive Testing of Pear Based on Fourier Near-Infrared Spectroscopy
por: Lu, Zhaohui, et al.
Publicado: (2022) -
Online Inspection of Browning in Yali Pears Using Visible-Near Infrared Spectroscopy and Interpretable Spectrogram-Based CNN Modeling
por: Hao, Yong, et al.
Publicado: (2023) -
Establishment of online deep learning model for insect-affected pests in “Yali” pears based on visible-near-infrared spectroscopy
por: Hao, Yong, et al.
Publicado: (2022) -
Visible and near-infrared spectroscopy and deep learning application for the qualitative and quantitative investigation of nitrogen status in cotton leaves
por: Xiao, Qinlin, et al.
Publicado: (2022)