Open AccessResearch Algorithm on the Wheat Phenotypic Feature Extraction based on Image Processing
Author(s) -
Xin-Heng Guo,
Cheng Jifu,
Guanbin Gao,
Jingliang An
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2010/1/012002
Subject(s) - preprocessor , feature extraction , computer science , feature (linguistics) , data pre processing , image processing , pattern recognition (psychology) , image (mathematics) , data extraction , artificial intelligence , winter wheat , agronomy , biology , philosophy , linguistics , biochemistry , medline
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.