Classification using radial-basis neural networks based on thermographic assessment of Botrytis cinerea infected cut rose flowers treated with methyl jasmonate

Classification using radial-basis neural networks based on thermographic assessment of Botrytis cinerea infected cut rose flowers treated with methyl jasmonate

Many environmental and physiological factors affect plant temperature. The objective of this study was to use thermal imagery to investigate robust features for early diagnosis of Botrytis cinerea infection in cut rose flowers under the postharvest application of Methyl Jasmonate (MeJA). Three cases...

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Bibliographic Details
Main Authors: Mehrnoosh Jafari, Saeid Minaei, Naser Safaie, Farah Torkamani-Azar, Mehdi Sadeghi
Format: Article
Language:English
Published: University of Tarbiat Modares 2016-12-01
Series:Journal of Crop Protection
Subjects:
laplace distribution
median temperature
normal distribution
thermal histogram
Online Access:http://jcp.modares.ac.ir/article-3-9129-en.html

Internet

http://jcp.modares.ac.ir/article-3-9129-en.html

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