A Study on the Estimation Model of Hyperspectral Reflectivity and Leaf Nitrogen Content of Cotton Leaves
Author:
Affiliation:
1. Key Laboratory of Tarim Oasis Agriculture/College of Information Engineering, Ministry of Education, Tarim University, Alar, China
2. Key Laboratory of Oasis Ecological Agriculture Corps, Shihezi University, Shihezi, China
Funder
Oasis Ecological Agriculture Corps Key Laboratory Open Project
National Natural Science Foundation of China
Corps Science and Technology Program
Tarim University Innovation Team Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10188855.pdf?arnumber=10188855
Reference36 articles.
1. Identification of red and NIR spectral regions and vegetative indices for discrimination of cotton nitrogen stress and growth stage
2. Continuous wavelets for the improved use of spectral libraries and hyperspectral data
3. A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades
4. Remote sensing of foliar chemistry
5. Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture
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