Research Algorithm on the Wheat Phenotypic Feature Extraction based on Image Processing

Abstract In order to solve the problems of manpower and long cycle in traditional manual measurement, a wheat phenotypic feature extraction and analysis system was designed and implemented based on the image processing technology. The system can analyze and estimate the phenotypic parameters of whea...

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Published inJournal of physics. Conference series Vol. 2010; no. 1; pp. 12002 - 12009
Main Authors Guo, Xiaojuan, Cheng, Jifu, Gao, Guohong, An, Jingliang
Format Journal Article
LanguageEnglish
Published IOP Publishing 01.09.2021
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Summary:Abstract In order to solve the problems of manpower and long cycle in traditional manual measurement, a wheat phenotypic feature extraction and analysis system was designed and implemented based on the image processing technology. The system can analyze and estimate the phenotypic parameters of wheat leaf, plant and wheat ear in different growth stages. The paper introduces the estimation algorithm of wheat leaf and wheat ear characteristics in detail, including the following contents: image acquisition, image preprocessing, feature extraction, parameter data estimation, etc. the estimated data provide data basis and reference for wheat breeding experts.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2010/1/012002