TFEMRNet: A Two-Stage Multi-Feature Fusion Model for Efficient Small Pest Detection on Edge Platforms

TFEMRNet: A Two-Stage Multi-Feature Fusion Model for Efficient Small Pest Detection on Edge Platforms

Currently, intelligent pest monitoring systems transmit entire monitoring images to cloud servers for analysis. This approach not only consumes significant bandwidth and increases monitoring costs, but also struggles with accurately recognizing small-target and overlapping pests. To overcome these c...

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Bibliographic Details
Main Authors: Junlin Mu, Linlin Sun, Bo Ma, Ruofei Liu, Shuangxi Liu, Xianliang Hu, Hongjian Zhang, Jinxing Wang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:AgriEngineering
Subjects:
pest identification
tiny object recognition
multi-stage detection approach
edge-based processing
feature integration
Online Access:https://www.mdpi.com/2624-7402/6/4/268
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