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...
Main Authors: | , , , |
---|---|
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 |