Evaluation of Cultivar Identification Performance Using Feature Expressions and Classification Algorithms on Optical Images of Sweet Corn Seeds

Evaluation of Cultivar Identification Performance Using Feature Expressions and Classification Algorithms on Optical Images of Sweet Corn Seeds

Cultivar identification of seeds is important for crop yield and quality. To study the impact of different features expressions and classification methods on cultivar identification, the performance of the feature expressions and classification algorithms affecting the accuracy of cultivar identific...

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Bibliographic Details
Main Authors: Yu Tang, Zhishang Cheng, Aimin Miao, Jiajun Zhuang, Chaojun Hou, Yong He, Xuan Chu, Shaoming Luo
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Agronomy
Subjects:
sweet corn seed
cultivar classification
optical image
performance evaluation
separability criterion
Online Access:https://www.mdpi.com/2073-4395/10/9/1268

Internet

https://www.mdpi.com/2073-4395/10/9/1268

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