Wheat Ear Recognition Based on RetinaNet and Transfer Learning

Wheat Ear Recognition Based on RetinaNet and Transfer Learning

The number of wheat ears is an essential indicator for wheat production and yield estimation, but accurately obtaining wheat ears requires expensive manual cost and labor time. Meanwhile, the characteristics of wheat ears provide less information, and the color is consistent with the background, whi...

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Bibliographic Details
Main Authors: Jingbo Li, Changchun Li, Shuaipeng Fei, Chunyan Ma, Weinan Chen, Fan Ding, Yilin Wang, Yacong Li, Jinjin Shi, Zhen Xiao
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
RetinaNet
deep learning
transfer learning
wheat ears
Global WHEAT
Online Access:https://www.mdpi.com/1424-8220/21/14/4845

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