⚒️ 🐟 Smart fish feeder: weather-based feeding system with BMKG & Telegram alerts

⚡ 152 views · ⚒️ Engineering

Description

🌦️ Intelligent Aquaculture Automation for Indonesia

Transform your fish farming operation with this cutting-edge n8n workflow that combines Indonesia’s official BMKG weather data with IoT-powered feeding automation. This system intelligently reduces feed by 20% when rain probability exceeds 60%, preventing overfeeding during adverse weather conditions that could compromise water quality and fish health.

🚀 Key Features

🌦️ Real-time BMKG Integration: Fetches official Indonesian weather forecasts every 12 hours using BMKG’s public API with precise ADM4 regional targeting

🤖 Smart Decision Engine: Advanced JavaScript algorithms analyze 6-hour and 12-hour rain probabilities to make optimal feeding decisions automatically

📱 ESP8266 IoT Control: Seamlessly sends HTTP webhook commands to your ESP8266/ESP32-based fish feeder hardware with JSON payloads

💬 Rich Telegram Notifications: Comprehensive reports including weather analysis, feeding decisions, hardware status, and next feeding schedule

⏰ Precision Scheduling: Automated execution at 05:30 and 16:30 WIB (Indonesian Western Time) with cron-based triggers

📊 Activity Logging: Complete audit trail with timestamps, weather data, and feeding decisions for operational monitoring

🛠️ Technical Architecture

Core Node Components:

• Schedule Trigger: Automated twice-daily execution
• HTTP Request: BMKG API integration with timeout handling
• Code (JavaScript): Weather parsing and feeding ratio calculations
• IF Condition: Intelligent branching based on configurable rain thresholds
• Telegram: Formatted notifications with markdown support
• Set Variables: Secure credential management with placeholder tokens

📋 Prerequisites

✅ n8n Instance: Self-hosted or cloud deployment
✅ Telegram Bot: Create via @BotFather for notifications
✅ ESP8266/ESP32: Hardware with servo motor for automated feeding
✅ Arduino Skills: Basic programming knowledge for hardware setup
✅ Indonesian Location: Uses BMKG API with ADM4 regional codes

⚙️ Configuration Requirements

📍 Location Settings: Update latitude, longitude, and BMKG ADM4 code in the Config node
🤖 Telegram Bot: Configure bot token and chat ID in credentials
🔗 ESP8266 Webhook: Set your device’s IP address for hardware communication
📊 Feeding Parameters: Customize rain threshold (default: 60%) and feed reduction (default: -20%)

🎯 Perfect For

🏭 Commercial Aquaculture: Large-scale fish farming operations requiring weather-aware feeding 🏠 Hobbyist Enthusiasts: Home aquarium and pond automation projects
🌱 Smart Agriculture: Integration with comprehensive farm management ecosystems 🔧 IoT Learning: Educational platform for weather-based automation development 🌍 Environmental Research: Combining meteorological data with livestock care protocols

📊 Rich Output Examples

The workflow generates detailed Telegram reports featuring:

• Current Weather Analysis: 6-hour and 12-hour rain probability breakdowns
• Feeding Decision Logic: Clear rationale for feed adjustments with percentages
• Hardware Confirmation: ESP8266 response status and command execution verification
• Schedule Preview: Next automated feeding time with countdown
• Historical Logs: Comprehensive activity tracking for pattern analysis

🔧 Hardware Integration Guide

Designed for ESP8266-based feeders accepting HTTP POST commands. The workflow transmits structured JSON containing:

{
  "command": "FEED_REDUCE_20",
  "feed_ratio": -20,
  "rain_prob": 75,
  "timestamp": "2024-09-18T10:30:00Z",
  "location": "Main Pond"
}

🌍 Regional Adaptation

Indonesia-Optimized: Built specifically for BMKG’s official weather API with ADM4 regional precision Global Compatibility: Easily adaptable for international weather services by modifying HTTP requests and parsing logic Scalable Architecture: Supports multiple pond locations with separate ADM4 configurations

🔒 Security & Credentials

• All API keys use {{PLACEHOLDER}} format for secure credential management
• No hardcoded sensitive information in workflow nodes
• Telegram bot tokens managed through n8n’s credential system
• ESP8266 webhooks support local network security

📈 Performance Benefits

• 20% Feed Optimization: Automatic reduction during high rain probability periods
• Water Quality Protection: Prevents overfeeding that degrades aquatic environment
• Cost Efficiency: Reduces feed waste while maintaining fish health
• 24/7 Monitoring: Continuous weather analysis without manual intervention
• Scalable Operations: Supports multiple feeding locations from single workflow

🔗 Nodes Used

HTTP Request, Telegram, Schedule Trigger

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup