AIMC Journal:
Insects

Showing 1 to 2 of 2 articles

RDW-YOLO: A Deep Learning Framework for Scalable Agricultural Pest Monitoring and Control.

Insects
Due to target diversity, life-cycle variations, and complex backgrounds, traditional pest detection methods often struggle with accuracy and efficiency. This study introduces RDW-YOLO, an improved pest detection algorithm based on YOLO11, featuring t...

Preliminary Development of Global-Local Balanced Vision Transformer Deep Learning with DNA Barcoding for Automated Identification and Validation of Forensic Sarcosaphagous Flies.

Insects
Morphological classification is the gold standard for identifying necrophilous flies, but its complexity and the scarcity of experts make accurate classification challenging. The development of artificial intelligence for autonomous recognition holds...