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Enhanced YOLO12 with spatial pyramid pooling for real-time cotton insect detection | Synapse
March 3, 2026
Open Access
Enhanced YOLO12 with spatial pyramid pooling for real-time cotton insect detection
DS
Dina Saif
Egyptian Universities Network
HA
Heba Askr
University of Sadat City
AS
Amany M. Sarhan
Higher Technological Institute
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Key Points
The enhanced YOLO12 model achieves significant improvements in real-time insect detection accuracy.
Testing revealed a 15% increase in detection rates compared to previous versions of YOLO in similar tasks.
The process employs spatial pyramid pooling techniques to effectively manage multi-scale features during detection.
This method could be a game changer for precision agriculture, emphasizing the need for automated pest management.
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Saif et al. (Tue,) studied this question.
synapsesocial.com/papers/69a7607fc6e9836116a2d483
https://doi.org/https://doi.org/10.1038/s41598-026-35747-4
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