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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Hlavní autoři:	Jingbo Li, Changchun Li, Shuaipeng Fei, Chunyan Ma, Weinan Chen, Fan Ding, Yilin Wang, Yacong Li, Jinjin Shi, Zhen Xiao
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2021-07-01
Edice:	Sensors
Témata:	RetinaNet deep learning transfer learning wheat ears Global WHEAT
On-line přístup:	https://www.mdpi.com/1424-8220/21/14/4845
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