Greenness identification based on HSV decision tree-Reference-Cited by-同舟云学术

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Greenness identification based on HSV decision tree

Published:2015-10 Issue:3-4 Volume:2 Page:149-160
ISSN:2214-3173
Container-title:Information Processing in Agriculture
language:en
Short-container-title:Information Processing in Agriculture

Author:

Yang Wenzhu,Wang Sile,Zhao Xiaolan,Zhang Jingsi,Feng Jiaqi

Funder

The Ministry of Science and Technology of the People’s Republic of China

Hebei Natural Science Foundation

Publisher

Elsevier BV

Subject

Computer Science Applications,Agronomy and Crop Science,Animal Science and Zoology,Aquatic Science,Forestry

Reference18 articles.

1. Drivers of precision agriculture technologies adoption: a literature review;Pierpaoli;Proc Technol,2013

2. Remotely sensed green area index for winter wheat crop monitoring: 10-year assessment at regional scale over a fragmented landscape;Duveiller;Agric For Meteorol,2012

3. Estimating near future regional corn yields by integrating multi-source observations into a crop growth model;Wang;Eur J Agron,2013

4. Automatic image-based detection technology for two critical growth stages of maize: emergence and three-leaf stage;Yu;Agric For Meteorol,2013

5. An automated stand-alone in-field remote sensing system (SIRSS) for in-season crop monitoring;Xiang;Comput Electron Agric,2011

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