The 22^ND IEEE International Conference on Industrial INFORMATICS (indin)

INDIN 2024

AUGUST 17-20, 2024, BeiJing, BJ, China 

Special Session on 

“ Industry 4.0 in Agriculture”

Organized by

Principal Organizer(s):

Organizer 1: Prof. Lei Shu ([email protected])

Affiliation: Nanjing Agricultural University, China/University of Lincoln, UK

Organizer 2: Dr. Yongliang Qiao ([email protected])

Affiliation: The University of Adelaide, Australia

Organizer 3: Dr. Ye Liu ([email protected])

Affiliation: Macau University of Science and Technology, Macau SAR

Organizer 4: Prof. Kim Fung Tsang ([email protected])

Affiliation: Nanfang College Guangzhou, China

Organizer 5: Prof. Gerhard P. Hancke ([email protected])

City University of Hong Kong, Hong Kong SAR

Call for Papers

Theme:

Industry 4.0, characterized by the amalgamation of cutting-edge technologies such as the Internet of Things (IoT), robotics, Big Data, AI, and blockchain. As of now, industrial production and supply chains have evolved into more autonomous and intelligent systems. This sets the stage for the convergence of Industry 4.0 and agriculture, offering the prospect of transforming industrial agriculture into its next evolutionary phase—Agriculture 4.0. In this paradigm, sustainable and intelligent industrial agriculture can be realized through the real-time, fine-grained collection, processing, and analysis of spatio-temporal data across all facets of the agricultural industry. This spans from food production, processing, and distribution to enhancing the consumer experience. An intelligent agricultural ecosystem, marked by real-time farm management, a high degree of automation, and data-driven decision-making, stands poised to significantly elevate productivity, streamline agri-food supply chains, bolster food safety measures, and optimize the use of natural resources.

This Special Session on "Industry 4.0 in Agriculture" serves as a platform for researchers across diverse interdisciplinary fields to showcase their latest advancements in the realm of smart agriculture.

Topics of interest include, but are not limited to:

• Robotics and autonomous systems for smart agriculture
• Computer vision and sensing systems in agriculture
• Electronic devices and control in agri-robotics
• Artificial intelligence for smart agriculture
• Big data analytics for smart agriculture
• Internet of Things for smart agriculture
• Plant factory and vertical farming system
• Blockchain for smart agriculture
• Edge computing for smart agriculture
• Unmanned farm and intelligent agricultural machinery