IoT for Smart Agriculture: A 2-Hour Crash Course for Software Engineers
A fast-paced course equipping software engineers with the essential skills to design and implement IoT solutions for modern agriculture.
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Fundamentals of IoT in Agriculture
Unit 1: IoT Components in Smart Agriculture
Intro to IoT in Farming
Agri-Sensors Explained
Gateways: Data Hubs
Cloud Platforms for Data
Analytics: Making Sense
Unit 2: Applications & Network Topologies
Precision Irrigation
Env. Monitoring with IoT
Livestock Management
Network Topologies
Comms Protocols
Building an IoT Sensor Network
Unit 1: Sensor Selection and Characteristics
Agri-Sensor Overview
Soil Moisture Sensors
Temp & Humidity Sensors
Light & Weather Sensors
Unit 2: Microcontroller Interfacing and Data Acquisition
Arduino for Ag-IoT
Sensor Wiring & Setup
Powering Your Sensors
Unit 3: Data Transmission and Networking
Intro to Data Transfer
MQTT Deep Dive
LoRaWAN Intro
Cloud Integration and Data Management
Unit 1: Cloud Platform Fundamentals
Cloud Platform Options
Account Setup & Navigation
IoT Hubs: The Gatekeepers
Unit 2: Data Ingestion and Storage
Data Ingestion Methods
Data Formatting
Cloud Storage Options
Unit 3: Data Processing and Visualization
Data Processing Pipelines
Real-time Data Analysis
Dashboard Creation
Unit 4: Security
Securing Data
Data Analytics and Optimization
Unit 1: Data Analysis Fundamentals
Intro to Data Analysis
Time Series Analysis
Anomaly Detection
Unit 2: Data Visualization and Reporting
Data Visualization Tools
Creating Dashboards
Generating Reports
Unit 3: System Evaluation and Optimization
Performance Metrics
Data Latency
Network Coverage
Sensor Accuracy