IoT · Climate · Geo · Yield · Quantum

From sensor packet to farmer instruction — modelled end-to-end.

Tune location, farm geometry, sensor inputs and monsoon prior. Watch climate forecasting, quantum crop-state collapse and yield estimation update live.

Location & Region

Distance to mandi (Pune APMC): 0.0 km

Farm Geometry

Farm scale1.00×
Area
4.64 ha
Vertices
4

Crop

IoT Sensor Inputs

Moisture 10 cm28%
Moisture 25 cm24%
Moisture 40 cm20%
Soil temp (DS18B20)27°C
EC (DFRobot)1.60 dS/m
NDVI (Sentinel-2)0.62

Monsoon Prior

Monsoon strength70%

Drives 2-state Markov rain process: P(wet|dry) = 0.25 + 0.5·μ.

AgriSensee · TodayCRITICAL · α=0.41 β=0.42 γ=0.81

Irrigate 18 mm + foliar spray potassium tonight.

Crop
Cotton
Area
4.64 ha
ET₀
6.96 mm
Stress
54%

Climate Prediction · 7-day

D+0
30°
22°
11mm
62%
D+1
31°
22°
10mm
63%
D+2
31°
21°
16mm
64%
D+3
30°
23°
14mm
64%
D+4
30°
22°
0mm
18%
D+5
30°
23°
6mm
64%
D+6
30°
23°
0mm
16%

Markov-chain rainfall with sinusoidal seasonal prior; tmax/tmin derived from regional baseline ± monsoon damping.

Quantum Crop State |ψ⟩

|vital⟩17.2%
|stressed⟩17.8%
|critical⟩65.0%
|ψ⟩ = 0.41|vital⟩
    + 0.42|stressed⟩
    + 0.81|critical⟩

collapse → critical

Crop Produce · Yield Estimate

Yield / ha
3.98 t
Total
18.5 t
GDD (cum.)
1599
Water (mm)
462

Y = base · (1 + 0.25·ΔNDVI + tanh(GDD/1500) + min(1, W/600)·0.4 + 0.5·P(vital))

LoRa Uplink Stream · ESP32 + SX1278

Awaiting first packet…