週次 |
授課內容 |
第1週 |
Introduction and Fundamental Concepts (I)
1. Course introduction
2. Definition and fundamental concepts of agricultural informatics. |
第2週 |
Introduction and Fundamental Concepts (II)
1. Information Technology vs. Agricultural Information Technology
2. Overview and historical development of IT applications in agriculture. |
第3週 |
Agricultural Data Collection and Processing
1.Role of data in modern farming
2.Types of agricultural data (e.g, weather, soil, crop or livestock productivity)
*In-class exercise: Agricultural data collection, editing and synthesis |
第4週 |
Agricultural Data Statistics and Analysis
1. Charts/diagrams creation of agricultural statistics
2. Interpretation and application of agricultural statistical information |
第5週 |
Agricultural Data Management and Databases (I)
1. Basic concepts and operations of database
2. Agricultural database development and management |
第6週 |
Guest Speaker: AI and database applications in modern agriculture
(Topic/Schedule: tentative; Further detail will be provided in class)
In-class exercise (tentative): How to use Google NotebookLM |
第7週 |
Agricultural Data Management and Databases (II)
1. Application of Agricultural Database and Information System
2. Other related data informatics (e.g., cloud-based platform) |
第8週 |
Geographic Information Systems (GIS) and Remote Sensing in Agriculture
1.Basics of GIS and mapping in agriculture
2. Role of remote sensing in agriculture
*In-class case study discussion: GIS or/and remote sensing in agriculture production (e.g., crop monitoring, site selection or farmland management) |
第9週 |
Digital Extension and Mobile Applications in Agriculture
1.Role of ICT in agricultural extension services
2.Mobile apps for farmers (e.g., weather forecasting, pest management)
3.E-agriculture and knowledge-sharing platforms |
第10週 |
Mid-term Exam |
第11週 |
Smart Farming and Internet of Things (IoT) in Agriculture
1.Concept of smart farming
2.IoT-enabled farm management; for example:Use of drones, robotics and/or automated irrigation |
第12週 |
Precision Agriculture Technologies
1.Concepts of precision agriculture
2.Use of IoT devices, GPS, and sensors
3.Spatial data and GIS application in precision agriculture |
第13週 |
Challenges and Ethical Issues in Agricultural Information Technology
For example : Data privacy and cybersecurity in farm management,environmental and ethical concerns
*In-class discussion (Tentative) |
第14週 |
Future Trends in Agricultural Information Technology
1.Emerging trends: AI, blockchain, cloud computing
2.Future challenges and career opportunities in Agri-IT |
第15週 |
Final Project Development
*Toolkit: Google NotebookLM |
第16週 |
Final Project Presentation (Group/Individual) |
第17週 |
Self-learning Week: Completing the post-class self-reflection report (Individual) on key learnings
|
第18週 |
Self-learning Week: Video Watching |