Identifying rice stress on a regional scale from multi-temporal satellite images using a Bayesian method-Reference-Cited by-同舟云学术

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Identifying rice stress on a regional scale from multi-temporal satellite images using a Bayesian method

Published:2019-04 Issue: Volume:247 Page:488-498
ISSN:0269-7491
Container-title:Environmental Pollution
language:en
Short-container-title:Environmental Pollution

Author:

Liu Meiling,Wang Tiejun,Skidmore Andrew K.,Liu Xiangnan,Li Mengmeng^ORCID

Funder

National Natural Science Foundation of China

China Scholarship Council

Faculty of Geo-Information Science and Earth Observation

University of Twente

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Toxicology,General Medicine

Reference80 articles.

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2. The potential of automatic methods of classification to identify leaf diseases from multispectral images;Bauer;Precis. Agric.,2011

3. A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis;Borsuk;Ecol.Modell.,2004

4. 15–Structural and physiological alterations in susceptible host tissue;Bushnell;Cereal Rusts,1984

5. LIBSVM: a library for support vector machines;Chang;ACM Trans. Intell. Syst. Technol.,2011

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