Efficiently deep learning for monitoring Ipomoea cairica (L.) sweets in the wild

Efficiently deep learning for monitoring Ipomoea cairica (L.) sweets in the wild

Ipomoea cairica (L.) sweets are an invasive weed which has caused serious harm to the biodiversity and stability of the ecosystem. It is very important to accurately and rapidly identifying and monitoring Ipomoea cairica (L.) sweets in the wild for managements taking the necessary strategies to cont...

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Bibliographic Details
Main Authors: Fei Tang, Dabin Zhang, Xuehua Zhao
Format: Article
Language:English
Published: AIMS Press 2021-04-01
Series:Mathematical Biosciences and Engineering
Subjects:
ipomoea cairica (l.) sweets
invasive weed
image identification
deep learning
Online Access:http://www.aimspress.com/article/doi/10.3934/mbe.2021060?viewType=HTML

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http://www.aimspress.com/article/doi/10.3934/mbe.2021060?viewType=HTML

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