Automatically diagnosing leaf scorching and disease symptoms in trees/shrubs by using RGB image computation with a common statistical algorithm-Reference-Cited by-同舟云学术

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Automatically diagnosing leaf scorching and disease symptoms in trees/shrubs by using RGB image computation with a common statistical algorithm

Published:2017-03 Issue: Volume:38 Page:110-114
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Wang Fei,Song Lei,Omasa Kenji,Wang Jing

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Ecological Modelling,Modelling and Simulation,Ecology,Ecology, Evolution, Behavior and Systematics

Reference17 articles.

1. Measuring wheat senescence with a digital camera;Adamsen;Crop Sci.,1999

2. Method for using images from a color digital camera to estimate flower number;Adamsen;Crop Sci.,2000

3. A survey on threshold methods of image segmentation;Fu;J. Zheijang Univ.,2003

4. Linking stress with macroscopic and microscopic leaf response in trees, new diagnostic perspectives;Günthardt-Goerg;Environ. Pollut.,2007

5. Application of thermal imaging and infrared sensing in plant physiology and ecophysiology;Jones;Adv. Bot. Res.,2004

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A study on computer aided automatic leaf disease classification techniques;INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “INNOVATIVE TECHNOLOGIES IN AGRICULTURE”;2023

2. A Review on Agricultural Advancement Based on Computer Vision and Machine Learning;Advances in Intelligent Systems and Computing;2019-07-17

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