Field detection and classification of citrus Huanglongbing based on hyperspectral reflectance-Reference-Cited by-同舟云学术

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Field detection and classification of citrus Huanglongbing based on hyperspectral reflectance

Published:2019-12 Issue: Volume:167 Page:105006
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Deng Xiaoling,Huang Zixiao,Zheng Zheng,Lan Yubin,Dai Fen

Funder

National Natural Science Foundation of China

Research and Development Program in Key Areas of Guangdong Province

Guangzhou Science and Technology Project

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference27 articles.

1. Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data;Ali;Remote Sens.,2015

2. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density;Broge;Remote Sens. Environ.,2001

3. Citrus greening detection using visible spectrum imaging and c-svc;Deng;Comput. Electron. Agric.,2016

4. Detection of citrus Huanglongbing based on image feature extraction and two-stage BPNN modeling;Deng;Int. J. Agric. Biol. Eng.,2016

5. Citrus disease recognition based on weighted scalable vocabulary tree;Deng;Precis. Agric.,2014

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