Pest Detection Dashboard
7
Active Infestations
arrow_upward 15% from yesterday
24
Monitored Areas
All systems operational
94.8%
AI Accuracy
arrow_upward 2.3% from last week
32
Pests Detected Today
arrow_upward 12% from yesterday
Live Camera Feeds
Warehouse A - Storage Area
Main Building
Field B - Crop Section 3
East Farm
Pest Infestation Heat Map
Showing pest concentration areas
Pest Analytics
Rodents (12)
Aphids (28)
Beetles (15)
Flies (9)
Locusts (5)
Aphids
Rodents
Active Detections
All (7)
High Risk (3)
Medium Risk (4)
Rodent Detected
Aphid Infestation
Beetle Cluster
Fly Activity
Potential Locust
Ant Trail
Spider Web
AI System Status
94.8%
AI Detection Accuracy
Last calibrated: Today at 09:15 AM
arrow_upward
2.3% improvement from last week
Active Detection Models
YOLOv8
EfficientDet
Custom CNN
Faster R-CNN
System Performance
Processing Rate
12 fps
GPU Utilization
65%
Confidence Threshold
0.75
False Positive Rate
2.8%
Treatment Recommendations
Rodents
Aphids
Beetles
Flies
pest_control
Recommended Treatment Plan
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1Deploy ultrasonic repellent devices in affected areas
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2Set up mechanical traps at entry points and along walls
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3Seal potential entry points and cracks in the structure
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4Remove food sources and improve storage practices
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5Schedule follow-up inspection in 7 days