AI-Based Pest Detection in Smart Agriculture: An Enhanced Tiny-YOLOV3 Approach

Keyphrases

• Smart Agriculture 100%
• AI-driven 100%
• Tiny-YOLO 100%
• Pest Detection 100%
• YOLOv3-tiny 100%
• Quelea Quelea 80%
• Frames per Second 60%
• Detection Accuracy 40%
• Accuracy Improvement 40%
• Embedded Systems 40%
• Artificial Intelligence 20%
• High-resolution 20%
• Maize 20%
• Technology Development 20%
• Detection Efficiency 20%
• Outdoor Environment 20%
• Rice 20%
• Speed Increase 20%
• Millet 20%
• Bird Feed 20%
• Recognition Method 20%
• Model Size 20%
• Video Feed 20%
• Faster R-CNN 20%
• Real-time Detection 20%
• You Only Look Once Version 3 (YOLOv3) 20%
• Smart Machinery 20%
• SSD MobileNet V2 20%
• Agricultural Damage 20%
• Lightweight Detection Model 20%
• YOLO Network 20%
• Agricultural Robot 20%
• Target Detection Network 20%
• Ecological Improvement 20%

Agricultural and Biological Sciences

• Precision Agriculture 100%
• Artificial Intelligence 100%
• YOLO 100%
• Quelea 80%
• Aves 20%
• Grains 20%
• Target Tracking 20%

Computer Science

• Artificial Intelligence 100%
• YOLO 100%
• Detection Accuracy 40%
• Embedded System 40%
• Robot 20%
• MobileNetV2 20%
• Experimental Result 20%