Avg Transport Temp
3.71°C
All routes · Jan 1–6, 2025
Avg Microbial Load
25.0k CFU/mL
Initial load baseline N₀
Total Shipments
875
Jan 2025 dataset
Spoilage Events
0
All batches clear
Avg Distance
261 km
Across 7 cities
🌡️ TEMPERATURE TREND — Jan 2025
🦠 MICROBIAL LOAD N(t) = N₀·e^(μt)
📍 CITY-WISE TEMPERATURE COMPARISON
🥛 MILK FRESHNESS & SHELF LIFE
FRESHNESS
--%
SHELF LIFE
-- hrs
📋 DATA LOGS — Shipment Records
| Shipment ID | City | Temperature | Microbial Load | Distance | Status |
|---|
🧬 ML PREDICTOR — Q10 Microbial Growth Model
Enter sensor readings below. The model uses the Q10 temperature coefficient
to compute microbial growth rate μ, then applies the exponential growth equation to predict final CFU/mL and freshness index.
Typical range: 1,000 – 150,000 CFU/mL
Cold chain optimal: 2 – 4°C
Enter time in minutes (e.g. 600 = 10 hrs)
Used in enhanced growth model (4.5–7.0)
🟢
FRESH
Growth Rate μ
—
/hr
Final N(t)
—
CFU/mL
Freshness
—
%
MICROBIAL GROWTH CURVE — N(t) = N₀ · e^(μt)
⚡ WHAT-IF SCENARIOS (impact on current prediction)
Model: N(t) = N₀ · e^(μ · t)
Growth rate: μ = μ_ref · Q10^((T − T_ref) / 10)
📐 MODEL PARAMETERS
μ_ref (reference growth rate)
0.03 /hr at 4°C
Q10 (temperature coefficient)
2.0 (doubles per 10°C)
T_ref (reference temperature)
4°C
Spoilage threshold
> 100,000 CFU/mL
FRESHNESS ZONES
🟢 FRESH — Score ≥ 90% · N(t) < 20,000 CFU/mL
🟡 OPTIMAL — Score ≥ 70% · N(t) < 30,000 CFU/mL
🟠 WARNING — Score ≥ 30% · N(t) < 100,000 CFU/mL
🔴 SPOILED — Score < 30% · N(t) ≥ 100,000 CFU/mL