Citrus rootstock evaluation utilizing UAV-based remote sensing and artificial intelligence-Reference-Cited by-同舟云学术

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Citrus rootstock evaluation utilizing UAV-based remote sensing and artificial intelligence

Published:2019-09 Issue: Volume:164 Page:104900
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Ampatzidis Yiannis,Partel Victor,Meyering Bo,Albrecht Ute

Funder

Florida Citrus Research and Development Foundation (CRDF), United States

Publisher

Elsevier BV

Subject

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

Reference60 articles.

1. Tukey’s honestly significant difference (HSD) test;Abdi,2010

2. Evaluating the performance of spectral features and multivariate analysis tools to detect laurel wilt disease and nutritional deficiency in avocado;Abdulridha;Comput. Electron. Agric.,2018

3. A remote sensing technique for detecting laurel wilt disease in avocado in presence of other biotic and abiotic stresses;Abdulridha;Comput. Electron. Agric.,2019

4. UAV-based remote sesning technique to detect citrus canker disease utilizing hyperspectral imaging and machine learning;Abdulridha;Remote Sens.,2019

5. Tolerance of trifoliate citrus rootstock hybrids to Candidatus Liberibacter asiaticus;Albrecht;Sci. Hortic.,2012

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