Intelligent Cotton Pest and Disease Detection: Edge Computing Solutions with Transformer Technology and Knowledge Graphs

Intelligent Cotton Pest and Disease Detection: Edge Computing Solutions with Transformer Technology and Knowledge Graphs

In this study, a deep-learning-based intelligent detection model was designed and implemented to rapidly detect cotton pests and diseases. The model integrates cutting-edge Transformer technology and knowledge graphs, effectively enhancing pest and disease feature recognition precision. With the app...

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Bibliographic Details
Main Authors: Ruicheng Gao, Zhancai Dong, Yuqi Wang, Zhuowen Cui, Muyang Ye, Bowen Dong, Yuchun Lu, Xuaner Wang, Yihong Song, Shuo Yan
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Agriculture
Subjects:
cotton pest detection
edge computing in farming
object detection
mobile application
dataset augmentation
Online Access:https://www.mdpi.com/2077-0472/14/2/247

Internet

https://www.mdpi.com/2077-0472/14/2/247

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