Research on a Rice Counting Algorithm Based on an Improved MCNN and a Density Map

Research on a Rice Counting Algorithm Based on an Improved MCNN and a Density Map

The thousand grain weight is an index of size, fullness and quality in crop seed detection and is an important basis for field yield prediction. To detect the thousand grain weight of rice requires the accurate counting of rice. We collected a total of 5670 images of three different types of rice se...

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Bibliographic Details
Main Authors: Ao Feng, Hongxiang Li, Zixi Liu, Yuanjiang Luo, Haibo Pu, Bin Lin, Tao Liu
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Entropy
Subjects:
rice
thousand grain weight
density map
multi-column convolutional neural network
advanced priori
Online Access:https://www.mdpi.com/1099-4300/23/6/721

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