Brief Course Description
1. Course Title:
Digital Transformation in Agribusiness
2. Language of Instruction:
Tiếng Việt
3. Course Code:
ECO501225
4. Credits:
3
5. Course Objectives:
This course equips students with the knowledge and skills necessary to understand and apply digital technologies in the context of modern agriculture. The course aims to provide students with a solid foundation in the fundamental concepts of digital transformation, highlighting the critical role of digital technologies such as IoT, Blockchain, Big Data, and AI in optimizing agricultural production processes, enhancing supply chain efficiency, and ensuring sustainability in agricultural production.
Students will learn how to apply digital technologies to monitor and manage farming conditions, improve supply chains, and develop sustainable solutions for agriculture. The course also emphasizes teamwork, communication, and problem-solving skills through case studies and group discussions, enabling students to understand how to implement technologies in real-world scenarios and make creative, flexible decisions in rapidly changing environments.
In addition, the course focuses on fostering independent thinking, lifelong learning, and responsible decision-making. Students are encouraged to actively explore and apply new technologies to address challenges in the agricultural sector, contributing to the sustainable and efficient development of the industry.
6. Brief Description of Course Content:
This course is designed to provide students with foundational knowledge on the application of digital technologies in agriculture, focusing on management and business aspects. The course covers nine main topics, progressing from fundamental concepts to advanced technological trends, to help students understand and effectively implement digital transformation in practice.
The course begins with an introduction to digital transformation, explaining the role of technology in promoting sustainable development, optimizing production processes, and managing supply chains. Next, students explore precision agriculture, a modern trend utilizing technologies such as GPS, GIS, and robotics to enhance production efficiency. Big Data and predictive analytics are core topics, equipping students with the ability to collect and analyze data for informed business decision-making. The role of IoT in monitoring and managing farming conditions, along with its practical applications, is thoroughly explored. Blockchain technology is introduced to demonstrate how it can enhance traceability and transparency in agricultural supply chains.
The course also emphasizes using digital tools to promote sustainable farming, manage resources efficiently, and minimize environmental impacts. Students will learn how to integrate digital solutions into current operations, develop digital transformation strategies, and overcome related challenges. Finally, the course concludes with an exploration of future trends, including AI, machine learning, and innovations in crop and livestock management, preparing students to adapt to changes in the digital agriculture sector.