Design of novel intelligent electronic trap for early detection and monitoring of tomato crops pest Tuta Absoluta using Deep learning

Key Points

• Pest detection accuracy significantly improves with the use of deep learning technologies.
• The intelligent electronic trap successfully identifies Tuta Absoluta in real-time settings.
• Analysis involves deploying a novel monitoring system utilizing automated deep learning for pest tracking.
• This innovation supports preventive measures in crop management, potentially enhancing yields.