Digital agriculture refers to the use of modern technology, data, and information tools to enhance various aspects of agriculture. It involves the integration of digital technologies into farming practices to improve productivity, and sustainability. The ‘Digital Agriculture’ track is designed to develop an in-depth look at digital agriculture, smart farming, and agriculture 4.0 concepts, including a variety of technologies to collect, analyze, and utilize data in the decision-making processes of agricultural activities.

The proposed track will focus on (but is not limited to) topics such as:

Emerging Technologies in Agriculture

·         IoT Devices (Sensors, Drones, Smart Machinery etc.)

·         Blockchain Technology

·         Mobile Applications

·         Geographic Information Systems

Data Analytics in Agriculture

·         Machine Learning Techniques

·         Deep Learning and Neural Networks

Social Aspects of Digital Agriculture

·         Adaptation of Digital Agriculture Technologies

·         Effects of Digitalization on Farmers and Farm Work

·         Power, Ownership, and Ethics in Digital Agricultural Systems

Economic and Managerial Aspects of Digital Agriculture

·         Farm Management Systems

·         Economics of Digitalized Agricultural Production Systems

·         Digitalization, and Agricultural Knowledge and Innovation Systems

·         Logistics and Supply Chain Management in Digital Agriculture