00 - IoT Data Pipelines for Precision Agriculture with Python & MQTT
Complete guide to building IoT pipelines for precision agriculture: MQTT sensors, brokers, data lake and dashboards.
FoodTech: IoT per l'agricoltura di precisione, AI per la supply chain alimentare, tracciabilità blockchain, food safety compliance e piattaforme per la sostenibilità alimentare.
Complete guide to building IoT pipelines for precision agriculture: MQTT sensors, brokers, data lake and dashboards.
Deploy TensorFlow Lite models on Raspberry Pi for real-time crop disease detection. Edge computing for agriculture.
Integration of satellite APIs (Sentinel, Planet) and weather data for crop prediction and smart irrigation.
Complete architecture for end-to-end food traceability: blockchain, RFID, IoT and regulatory compliance.
Building computer vision systems for food quality inspection: YOLO, defect classification and production pipeline.
Automated system for FSMA 204 compliance: lot tracking, contamination alerts and recall management with Python.
Software architecture for automated vertical farms: LED control, irrigation, robotics and API integration.
Time-series ML models for food demand forecasting: LSTM, Prophet and waste reduction up to 50%.
Building real-time dashboards for farm IoT monitoring: Angular signals, Grafana, InfluxDB and alerting.
ETL patterns for food supply chain: data integration from farm to retailer with Apache Airflow and dbt.
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