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🌾 Agricultural Energy

Smart Farming & Agri-Tech Optimization

ModbusMQTTREST API
Total Power70.2 kW
Optimized40.7 kW
Renewable Use95%
Annual Savings41,354
Weather conditions

Current Forecast

18°C
Temp
55%
Humidity
620 W/m²
Solar
4.5 m/s
Wind
2 mm
Rainfall
4.8 mm
ET₀
AI scheduling

Asset Plan (6)

shift to solar10:00–15:00saves 6.8 kW

Centre Pivot Pump: Run during solar peak (8.5 kW needed, 43.0 kW available)

shift to solar10:00–15:00saves 2.4 kW

Drip System Pump: Run during solar peak (3.0 kW needed, 43.0 kW available)

reduce loadDaylight hourssaves 7.2 kW

Greenhouse Block A: Reduce heating/lighting — ambient 18°C, good solar irradiance

reduce load10:00–16:00saves 8.4 kW

Grain Dryer #1: Reduce power — low humidity (55%) aids natural drying

maintainContinuous

Produce Cold Store: Maintain — ambient 18°C

maintainAs scheduled

Milking Parlour: Operating normally

AI recommendations

Actions

mediumscheduling

Shift flexible loads (irrigation, drying) to solar/wind peak for maximum self-consumption

~€12,406/year impact

Demo scenario: Mixed-use farm with centre-pivot irrigation, greenhouses, grain dryers, cold storage, and 50kW solar + 15kW wind. Real deployments connect via Modbus/MQTT to farm controllers and weather stations.