🌦️ Intelligent Aquaculture Automation for Indonesia
🌦️ 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. An n8n automation workflow template by Tegar karunia ilham.
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