Automatic kernel counting on maize ear using RGB images

Abstract Background The number of kernels per ear is one of the major agronomic yield indicators for maize. Manual assessment of kernel traits can be time consuming and laborious. Moreover, manually acquired data can be influenced by subjective bias of the observer. Existing methods for counting of...

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Bibliographic Details
Main Authors: Di Wu, Zhen Cai, Jiwan Han, Huawei Qin
Format: Article
Language:English
Published: BMC 2020-06-01
Series:Plant Methods
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13007-020-00619-z