POP Module 5 - Alignment Process

Applications and Research Integration

Discover how POPs enable modern agricultural research, support farm operations, and align with NMSU's strategic vision for innovation and outreach

Learning Objectives

By the end of this module, you will be able to:

Identify practical applications of POP connectivity for farm staff and operations
Understand how researchers use POPs for data collection and experiments
Interpret key performance metrics: uptime, connected researchers, and IoT devices
Explain how POPs enhance research capacity and enable modern agricultural science
Articulate the legislative narrative and funding importance for POP infrastructure
Connect POP deployment to NMSU LEADS 2025 strategic goals

Key Performance Metrics

Measuring POP effectiveness and operational reliability

 

To demonstrate value and justify continued investment, POP infrastructure is evaluated using three primary metrics: uptime, researcher engagement, and IoT device connectivity.

Metric 1: System Uptime

Definition:

Percentage of time that POP is operational and providing connectivity. Measured as (total hours operational / total hours in period) × 100%.

Target Performance:

  • Excellent: >98% uptime
  • Good: 95-98% uptime
  • Acceptable: 90-95% uptime
  • Needs Improvement: <90% uptime

Factors Affecting Uptime:

  • Battery capacity: Sufficient storage for cloudy periods
  • Solar panel performance: Clean panels, proper orientation
  • Wireless link stability: Good alignment, clear LOS
  • Equipment reliability: Quality hardware, proper maintenance
  • Weather events: Extreme conditions (storms, snow)

How Uptime is Monitored:

NMSU IT uses network monitoring tools (e.g., PRTG, Nagios) to continuously ping POPs and log connectivity status. Cerbo GX also provides power system status. Downtime events are logged with timestamps and causes.

99.2%
Average uptime across all POPs (2024)
7 hours
Average downtime per month per POP

Why Uptime Matters:

High uptime ensures researchers can rely on continuous data collection and farm staff have consistent connectivity. Even 95% uptime means ~36 hours of downtime per month—potentially missing critical events or disrupting operations. Target is >98% for research-grade reliability.

Metric 2: Researchers Connected

Definition:

Number of unique researchers, graduate students, and collaborators actively using POP connectivity for their work. Measured monthly or per semester.

Engagement Levels:

  • Active users: Access data or visit site weekly
  • Regular users: Access monthly
  • Occasional users: Access quarterly
  • Registered users: Have access but not currently active

How Engagement is Tracked:

  • WiFi authentication logs (unique device MACs)
  • Data portal access logs
  • Researcher surveys and self-reporting
  • Grant proposals citing POP infrastructure
  • Publications using POP-collected data

Current Engagement Statistics (2024):

30+
Total researchers using POPs
15+
Graduate students
4
External collaborators

Why This Metric Matters:

The number of researchers connected demonstrates the breadth of impact and justifies infrastructure investment. Growing researcher engagement indicates successful adoption and increasing value. This metric is particularly important for legislative reporting and grant applications.

Metric 3: IoT Devices Connected

Definition:

Total number of sensors, cameras, monitoring devices, and automated systems connected to POP network. Indicates scale of data collection infrastructure.

Device Categories:

  • Environmental sensors: Weather, soil, water
  • Cameras: Security, time-lapse, monitoring
  • Control systems: Irrigation, climate, equipment
  • Tracking devices: GPS, RFID, asset tags

Typical Device Counts per POP:

  • Small deployment: 5-10 devices
  • Medium deployment: 10-25 devices
  • Large deployment: 25-50 devices
  • Research-intensive: 50+ devices

Current Device Statistics (2024):

50+
Total IoT devices
50+
Sensors
18
Cameras
15+
Other devices

Why This Metric Matters:

IoT device count demonstrates the scale of modern agricultural research infrastructure and the enabling role of POP connectivity. Each device represents data that was previously uncollected or required manual effort. Growing device counts show increasing adoption of precision agriculture and data-driven research methods.

Metrics Dashboard Summary

99.2%
System Uptime
Operational Reliability
30+
Researchers Connected
Engagement Levels
50+
IoT Devices Connected
Sensors & Monitoring Equipment