TSCRIC-LoRa v5.0 ENTERPRISE
Intelligent Irrigation
Command Center
Temporal Soil-Crop Resonance Irrigation Controller with AI-powered decision making, LoRa mesh networking, and real-time sensor fusion.
3
Soil Depths
8
Crop Types
AI
Score Engine
⬇
Download Android App (.apk)
TSCRIC-LoRa v5.0 · Native Android App · Field Use
System Dashboard
Real-time overview of all field parameters and irrigation status
--
AI Score
Irrigation Intelligence Metrics
--
SMV
%/hr
--
SMA
%/hr²
--
TPR
cos θ
--
ETo
mm/day
--
Rain Prob
%
CSMI
--%
Weighted Moisture Index
Temperature
--°C
Local DHT22
Humidity
--%
Local DHT22
Flow Rate
--L/m
YF-S201 Flow Sensor
ETo Rate
--mm
Reference Evapotranspiration
Rain Probability
--%
Forecast probability
🌤️ OpenWeatherMap — Live Weather
--
Temperature
--
Humidity
--
Pressure
--
Rainfall
--
Rain Probability
--
OWM Status
🧠 AI Decision Engine
🧠
Irrigation Reasoning & Farmer Insights
Auto-updates with sensor data
Waiting for sensor data…
Connect device to receive live sensor readings for AI analysis.
💡 Irrigation Decision
Awaiting live data to generate irrigation recommendation…
📊 Budget Overview
Water Remaining
-- L
To meet seasonal delta
Est. Days
--
Based on current ETo rate
Efficiency
--%
Applied + Rain vs Required
Sensor Network
All field sensors, health status, and real-time readings
🩺 Sensor Health Matrix
SM1 (15 cm)--
SM2 (30 cm)--
SM3 (45 cm)--
DHT22 Temp/Hum--
BMP280 Pressure--
YF-S201 Flow--
LoRa SX1278OK
🌱 Tri-Depth Soil Profile
Surface · 15 cm
--%
CSMI · Weighted
--%
Mid-root · 30 cm
--%
Deep root · 45 cm
--%
🌡️ Environmental Sensors
--°C
Temperature · Local
-- vs OWM
--%
Humidity · Local
-- vs OWM
--hPa
Pressure · BMP280
-- OWM
--L/min
Flow Rate · YF-S201
Irrigation Control
Pump management, water budget, rainfall analytics
⚙️ Pump Control
💧
--
--
📋 Irrigation Event Log
| Time | CSMI | AI Score | Dose (L) | Trigger |
|---|---|---|---|---|
| No irrigation events recorded yet | ||||
🌧️ Rainfall Analytics
Priority 1
Tipping Bucket
No data
Priority 2
OpenWeatherMap
No data
Priority 3
Estimated Trend
None detected
Effective
Applied to Budget
-- mm
🌦️ Rain Probability Forecast
--%
--
0%
0.0
mm
This Hour
0%
0.0
mm
24-Hour Total
0.0
mm
Session Total
0.0
mm/hr
Intensity
⚖️ Seasonal Water Budget
Total Irrigation Applied
-- L
Flow sensor cumulative
Rainfall Contribution
-- L
Effective × Plot Area
Seasonal Required
-- L
Δ × Plot Area
Balance Remaining
-- L
Budget left this season
Flow Sensor Total
-- L
YF-S201 measured
-- % of seasonal budget used
Historical Analytics
24-hour trends and long-term field data analysis
24h Soil Moisture — 3 Depths + CSMI
SM1 15cm
SM2 30cm
SM3 45cm
CSMI
--
SM1 Avg %
--
SM2 Avg %
--
SM3 Avg %
--
CSMI Avg
7-Day Irrigation Volume Trend
Rainfall History (mm)
ETo — Reference Evapotranspiration (mm/day)
ETo
Effective Rain
AI Irrigation Score History (0–120)
--
Peak Score
--
Average
--
Triggers
Flow Rate — YF-S201 (L/min)
Water Balance Trend
Applied
Rainfall
ETo Loss
Environment — Temperature & Humidity
Temp °C
Humidity %
Smart Alert Center
Active diagnostics, fault detection, and system notifications
🚨 Active Alerts
System Alerts & Diagnostics
0
✅ All systems nominal — no active alerts
🔍 Leakage & Fault Diagnostics
Leakage Detection
⏳ Awaiting sensor data
Anomaly Score: --/100
Dry-Run Protection
⏳ Awaiting sensor data
Risk: --
Pipe Blockage
⏳ Awaiting sensor data
Blockage Index: --%
Abnormal Flow / Tampering
⏳ Awaiting sensor data
Anomaly: --
Connectivity Status
Online/offline status, OpenWeatherMap, and cloud comparison
🌐 Network Status
📡 Device Mode
WiFi / Firebase--
LoRa FallbackActive
Offline Logs Pending--
🌩️ OpenWeatherMap
OWM Status--
Cloud Temp--
Cloud Humidity--
Cloud Pressure--
Cloud Rainfall--
🔬 Cloud vs Local
Temperature Δ--
Humidity Δ--
Data PriorityLocal First
DHT22 Fallback
BMP280 Fallback
Pump Control System
Manual and automatic pump management
⚙️ Pump Panel
💧
--
--
LoRa Network
SX1278 433 MHz mesh network diagnostics
📡
SX1278 433 MHz — Network Status
● Standby
Signal Parameters
--
RSSI (dBm)
--
SNR (dB)
--
Packets Sent
433
Frequency (MHz)
7
Spread Factor
125
Bandwidth (kHz)
Network Nodes (Mesh-Ready)
Node-01: TSCRIC-Main (This Device)
ESP8266 | Field A | Last TX: --
Signal: --
Node-02: Gateway / Relay
Future: LoRa-to-WiFi bridge node
Not Deployed
Node-03: Field B Sensor
Future: Second field monitoring node
Not Deployed
Soil Health Analytics
EC, pH, temperature, and extended soil chemistry data
🔌 Hardware Required:
DS18B20 → Soil Temperature | EC Sensor → Conductivity | pH Sensor → Soil pH
Without hardware: values show -- / Not Connected. No simulated data is ever shown.
Without hardware: values show -- / Not Connected. No simulated data is ever shown.
--
°C (DS18B20)
Soil Temperature
0°COptimal: 20–30°C50°C
🔌 Not Connected
--
mS/cm (EC Sensor)
Electrical Conductivity
0Optimal: 1.5–3.06+
🔌 Not Connected
--
pH Units
Soil pH
pH 0Optimal: 6.0–7.5pH 14
🔌 Not Connected
--
ppm
Salinity Estimate
0Optimal: <5002000+
🔌 Not Connected
Farm Configuration
Crop, area, weather location, and calibration settings
⚙️
Farm Configuration
✓ Saved to Firebase & Device
Stage: -- | GDD: --
m²
Min: 1 m² | Max: 1,00,000 m²
Bigha
1 Bigha (MP) = 1333.33 m²
📍 GPS location use ho rahi hai
Crop Delta (Δ)-- mm
Field Capacity-- %
Perm. Wilt Point-- %
Area-- m²
= Bigha--
Seasonal Need-- L
Saves to Firebase → ESP8266 reads within 15s → EEPROM persisted
🔬
Soil Calibration Engine (SAT / FC / PWP)
✓ Calibration Saved
Enter ADC values recorded in lab-controlled conditions (dry air, field capacity, permanent wilting point).
Saved to Firebase → synced to device EEPROM within 15s.
Sensor 1 — 15 cm (CH0)
Sensor 2 — 30 cm (CH1)
Sensor 3 — 45 cm (CH2)
Device reads calibration within 15s and applies to ADC→VWC conversion
AI Farm Assistant
Powered by Gemini — Advisory only, does not control devices
AI Farm Assistant
Powered by Gemini · Advisory Only
● Initializing
Quick Ask
🤖
AI is thinking…
0/500
Advisory only · Does not control pump or modify settings · Enter or click ➤ to send
TSCRIC-LoRa
Temporal Soil-Crop Resonance Irrigation Controller with LoRa Mesh Network
v5.0 ENTERPRISE · Research Edition · 2025–2026👥 Project Team
👑
Aman Kumar
Team Lead · Project Developer
🎓
Dr. Yogesh Iyer Murthy
Project Guide · OCT Bhopal
👨💻
Aditya Kumar
Team Member
👨💻
Akash Khandgre
Team Member
👨💻
Akash Kumar
Team Member
🛠️ Technology Stack
ESP8266 + LoRa SX1278
433 MHz mesh network, IoT hardware
Firebase Realtime DB
Cloud sync, offline-capable PWA
Gemini AI
Farm advisory assistant engine
OpenWeatherMap API
Cloud weather data, rainfall forecast
CSMI Algorithm
Tri-depth weighted moisture index
Penman-Monteith ETo
Reference evapotranspiration model
Soil Calibration Engine
SAT/FC/PWP ADC→VWC conversion
YF-S201 Flow Sensor
Pulse-based water volume measurement
ℹ️ System Architecture
Sensor Priority: Local Physical > OpenWeatherMap API
Connectivity: Offline-capable | LoRa fallback | Firebase sync
Features: Adaptive root-zone control | Gemini AI | Historical charts | Alert engine | Explainability engine | Fault diagnostics | Tipping bucket rainfall | Water budget
Institution: Oriental College of Technology, Bhopal | Civil Engineering 2025–2026
Connectivity: Offline-capable | LoRa fallback | Firebase sync
Features: Adaptive root-zone control | Gemini AI | Historical charts | Alert engine | Explainability engine | Fault diagnostics | Tipping bucket rainfall | Water budget
Institution: Oriental College of Technology, Bhopal | Civil Engineering 2025–2026