Application of Spatio-Temporal Context and Convolution Neural Network (CNN) in Grooming Behavior of Bactrocera minax (Diptera: Trypetidae) Detection and Statistics

Application of Spatio-Temporal Context and Convolution Neural Network (CNN) in Grooming Behavior of Bactrocera minax (Diptera: Trypetidae) Detection and Statistics

Statistical analysis and research on insect grooming behavior can find more effective methods for pest control. Traditional manual insect grooming behavior statistical methods are time-consuming, labor-intensive, and error-prone. Based on computer vision technology, this paper uses spatio-temporal c...

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Bibliographic Details
Main Authors: Zhiliang Zhang, Wei Zhan, Zhangzhang He, Yafeng Zou
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Insects
Subjects:
Bactrocera minax
grooming
image processing
spatio-temporal context
Convolution Neural Network
behavioral sequence
Online Access:https://www.mdpi.com/2075-4450/11/9/565

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