Soybean Seed Counting Based on Pod Image Using Two-Column Convolution Neural Network

Soybean Seed Counting Based on Pod Image Using Two-Column Convolution Neural Network

China's soybean supply and demand are seriously imbalanced. It is crucial to improve the level of soybean breeding. Hundred-grain weight is one of the most essential phenotypic parameters for crop breeding. Accurate soybean seed counting is a key step for 100-grain weight. There are several see...

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Bibliographic Details
Main Authors: Yue Li, Jingdun Jia, Li Zhang, Abdul Mateen Khattak, Shi Sun, Wanlin Gao, Minjuan Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolution neural network
density map
Gaussian kernel
pod image
soybean seed counting
Online Access:https://ieeexplore.ieee.org/document/8716704/

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