SCRNet: A spatial-channel reconstruction network for multi-task pineapple detection and a novel pineapple dataset

Key Points

• Findings show enhanced detection accuracy for pineapples with an F1 score of 0.90.
• The SCRNet model features a unique spatial-channel reconstruction mechanism for improved performance.
• Observational analysis utilizing a novel pineapple dataset with over 5,000 annotated images.
• The findings may enable better monitoring of pineapple crops through automated detection systems.