The Application of Machine Learning Models Based on Leaf Spectral Reflectance for Estimating the Nitrogen Nutrient Index in Maize

The Application of Machine Learning Models Based on Leaf Spectral Reflectance for Estimating the Nitrogen Nutrient Index in Maize

Non-destructive acquisition and accurate real-time assessment of nitrogen (N) nutritional status are crucial for nitrogen management and yield prediction in maize production. The objective of this study was to develop a method for estimating the nitrogen nutrient index (NNI) of maize using in situ l...

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Bibliographic Details
Main Authors: Bo Chen, Xianju Lu, Shuan Yu, Shenghao Gu, Guanmin Huang, Xinyu Guo, Chunjiang Zhao
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Agriculture
Subjects:
summer maize
nitrogen nutrient index
leaf spectral reflection
effective band
machine learning
Online Access:https://www.mdpi.com/2077-0472/12/11/1839

Internet

https://www.mdpi.com/2077-0472/12/11/1839

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