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OceanRemote
Low-code IoT platform
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Data Analysis - Part 1

Data Analysis - Part 1

📊 Turning Raw Data into Farm Insights - From Numbers to Knowledge

📊 What You'll Learn:

  • 🔍 Interpret raw sensor readings to understand farm conditions
  • 📈 Identify normal patterns vs. problems (leaks, equipment failure)
  • 📊 Create reports to track week-over-week improvements
  • 💰 Turn data into decisions that save water and increase yields

Raw sensor readings like "3820" or "28°C" are just numbers until you interpret them. This lesson teaches you how to transform data into actionable insights.

💧 Soil Moisture Analysis

  • Daily Pattern: Moisture drops during the day (plant uptake), recovers at night. Normal drop = 5-15%.
  • Weekly Trend: Gradual decline of 2-5% per day = normal usage. Sharp drop > 20% = possible leak.
  • Alert Threshold: Set alert at 30% to water before plant stress.
💡 The 10% Rule:

Normal daily moisture drop = 5-15%. If drop exceeds 20% daily, investigate possible leak. If drop is less than 3%, your soil may be waterlogged.

📖 Case Study - Spotting a Leak:

A farmer noticed soil moisture dropping from 65% to 40% overnight (25% drop). Investigation found a broken pipe. Fixing it saved 50,000 liters per week.

🌡️ Temperature Analysis

  • Soil temperature below 15°C: Delay planting - seeds won't germinate properly
  • Soil temperature 18-25°C: Optimal for most crops
  • Air temperature > 35°C: Increase irrigation frequency by 30-50%
  • Night temperature drops < 5°C: Frost risk - cover crops or irrigate before dawn

📈 Weekly Trend Analysis

  • Gradual decline (2-5% per day): Normal usage - maintain schedule
  • Sharp drop (> 20% in 24h): Possible leak or broken pipe - inspect immediately
  • Flat line (no change): Sensor may be stuck or disconnected - check wiring
  • Erratic readings (wild swings): Electrical interference or loose connection

📊 Exporting Data for Reports

  1. Go to OceanRemote dashboard → Device History
  2. Select date range (e.g., last 7 days)
  3. Click "Export CSV"
  4. Open in Excel or Google Sheets
  5. Create charts: Insert → Chart → Line chart
  6. Add trendlines to see direction (up/down/stable)
💡 Weekly Review Checklist:
  • 📊 Compare this week's moisture to last week
  • 🌡️ Check max temperatures - any heat waves coming?
  • 💧 Calculate average daily water use - trending up or down?
  • 📈 Track yield vs water used - is efficiency improving?
🎯 Key Takeaways:
  • ✅ Normal daily moisture drop = 5-15%
  • ✅ Sharp drops > 20% = possible leak or equipment failure
  • ✅ Soil temp < 15°C = delay planting
  • ✅ Air temp > 35°C = increase irrigation 30-50%
  • ✅ Export CSV data weekly to track improvements
💡 Key Takeaways:
  • Apply these concepts directly to your farm or project.
  • Take notes on important details for the quiz.
  • Use the button below to track your progress.