Fine-Grained Pests Recognition Based on Truncated Probability Fusion Network via Internet of Things in Forestry and Agricultural Scenes

Fine-Grained Pests Recognition Based on Truncated Probability Fusion Network via Internet of Things in Forestry and Agricultural Scenes

Accurate identification of insect pests is the key to improve crop yield and ensure quality and safety. However, under the influence of environmental conditions, the same kind of pests show obvious differences in intraclass representation, while the different kinds of pests show slight similarities....

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Bibliographic Details
Main Authors: Kai Ma, Ming-Jun Nie, Sen Lin, Jianlei Kong, Cheng-Cai Yang, Jinhao Liu
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Algorithms
Subjects:
insect pest recognition
fine-grained visual classification
deep-learning neural network
soft-VLAD aggregation
gated probability fusion
Online Access:https://www.mdpi.com/1999-4893/14/10/290

Internet

https://www.mdpi.com/1999-4893/14/10/290

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