Quantitative Monitoring of Leaf Area Index in Rice Based on Hyperspectral Feature Bands and Ridge Regression Algorithm

Quantitative Monitoring of Leaf Area Index in Rice Based on Hyperspectral Feature Bands and Ridge Regression Algorithm

Leaf area index (LAI) is one of the indicators measuring the growth of rice in the field. LAI monitoring plays an important role in ensuring the stable increase of grain yield. In this study, the canopy reflectance spectrum of rice was obtained by ASD at the elongation, booting, heading and post-flo...

Full description

Bibliographic Details
Main Authors: Shu Ji, Chen Gu, Xiaobo Xi, Zhenghua Zhang, Qingqing Hong, Zhongyang Huo, Haitao Zhao, Ruihong Zhang, Bin Li, Changwei Tan
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Remote Sensing
Subjects:
leaf area index
hyperspectral
successive projections algorithm
ridge regression
rice
Online Access:https://www.mdpi.com/2072-4292/14/12/2777

Similar Items

Similar Items