Pi5 Agricultural IoT: 32-Day Raspberry Pi 5 Edge Node Performance Data

9,409 system performance records were collected from a Raspberry Pi 5 deployed as an edge computing node on a farm in Biên Hòa, Vietnam. The device managed 10 simultaneous IP camera streams, performing real-time RTSP to RTMP transcoding via FFmpeg. Data was gathered continuously for 32 days, starting March 23, 2026, by the author talab-ai.

Use Cases

• Benchmarking Raspberry Pi 5 performance under sustained load based on the 32-day continuous collection period
• Analyzing system stability for multi-stream video transcoding tasks based on the description of 10 simultaneous RTSP streams
• Modeling resource usage patterns in agricultural edge computing deployments based on the farm deployment context

Strengths

• 9,409 records provide a substantial sample for analysis
• Data was collected continuously over a 32-day period, suggesting temporal consistency
• The deployment context on a specific agricultural farm in Vietnam provides a real-world use case

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is known but the total data size and file formats are unknown, which may limit suitability assessment

Provenance

Source

talab-ai

Collection Method

Collected from a Raspberry Pi 5 (8 GB) edge node managing 10 IP camera streams with FFmpeg transcoding.

Time Range

32 days starting 23/03/2026

Freshness

Last updated 2026-05-01 04:00:14; freshness should be verified

Geography

Agricultural farm in Biên Hòa, Đồng Nai, Vietnam