TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks

TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks

Abstract Background Grain yield of wheat is greatly associated with the population of wheat spikes, i.e., $$spike~number~\text {m}^{-2}$$ spikenumberm-2 . To obtain this index in a reliable and efficient way, it is necessary to count wheat spikes accurately and automatically. Currently computer visi...

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Bibliographic Details
Main Authors: Haipeng Xiong, Zhiguo Cao, Hao Lu, Simon Madec, Liang Liu, Chunhua Shen
Format: Article
Language:English
Published: BMC 2019-12-01
Series:Plant Methods
Subjects:
Wheat spikes
Object counting
Convolutional models
Local regression networks
Context fusion
Online Access:https://doi.org/10.1186/s13007-019-0537-2

Internet

https://doi.org/10.1186/s13007-019-0537-2

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