AI Smart Autonomous Farming Vehicle with GPS Navigation

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AI Smart Autonomous Farming Vehicle with GPS Navigation ESP32 + AI Agent + IoT Web Dashboard + n8n Automation + Telegram Voice Alerts + Google Sheets + ThingSpeak
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1. Project Overview

Build an autonomous farming rover using ESP32, GPS navigation, sensors, AI prediction logic, n8n automation, Telegram voice alerts, Google Sheets, and ThingSpeak cloud dashboard.

2. System Features

  • GPS based autonomous navigation
  • Obstacle detection and avoidance
  • Soil moisture monitoring
  • Temperature and humidity monitoring
  • Battery monitoring
  • AI power consumption prediction
  • Telegram voice notifications
  • Google Sheets data logging
  • ThingSpeak cloud dashboard

3. Components List

  • ESP32 Development Board
  • GPS Module NEO-6M
  • DHT22 Temperature Humidity Sensor
  • Soil Moisture Sensor
  • Ultrasonic Sensor
  • L298N Motor Driver
  • DC Motors and Robot Chassis
  • Battery and Voltage Sensor

4. Circuit Connections

GPS TX  -> ESP32 GPIO16
GPS RX  -> ESP32 GPIO17
Soil Sensor -> GPIO34
DHT22 -> GPIO4
Ultrasonic Trigger -> GPIO5
Ultrasonic Echo -> GPIO18

Motor Driver:
IN1 -> GPIO25
IN2 -> GPIO26
IN3 -> GPIO27
IN4 -> GPIO14

5. Working Flowchart

Start
 |
Initialize ESP32
 |
Connect WiFi
 |
Read Sensors
 |
GPS Navigation
 |
Obstacle Detected?
 |
Yes -> Avoid Obstacle
 |
No -> Continue Movement
 |
Send Cloud Data
 |
AI Analysis
 |
Telegram Alert

6. ESP32 Program Logic

Read GPS coordinates
Read soil moisture
Read temperature
Check obstacle distance
Control motors
Send data to cloud

7. AI Power Prediction

Power = Voltage x Current

Future Consumption =
Current Power +
Motor Load +
Distance Factor +
Terrain Factor

8. ThingSpeak Dashboard

Fields: Temperature, Humidity, Soil Moisture, Battery, Latitude and Longitude.

9. n8n Automation Workflow

ESP32
 |
Webhook
 |
AI Processing
 |
Telegram Voice Alert
 |
Google Sheets Logging

10. Telegram Bot Setup

  1. Create Telegram Bot using BotFather
  2. Copy API token
  3. Add token into n8n Telegram node
  4. Configure voice alert workflow

11. Google Sheets Integration

n8n automatically stores farming sensor data with time, location and battery information.

12. Future Enhancements

  • ESP32-CAM crop monitoring
  • AI disease detection
  • Automatic irrigation
  • Solar charging system
  • Robotic fertilizer spraying

13. Deployment Steps

  1. Build vehicle chassis
  2. Install motors and sensors
  3. Upload ESP32 firmware
  4. Configure cloud services
  5. Import n8n workflow
  6. Test field operation

Final Output

AI powered autonomous farming vehicle with IoT dashboard, cloud monitoring, automation and voice notification system.

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