Nur Arifin Akbar
Doctoral Researcher at University of Palermo (A Doctoral Network funded by Marie Skłodowska-Curie Actions - Entrust Project)
Session
10-26
16:30
30min
Multi-Modal Data Fusion in Heterogeneous Data for Artificial Intelligence: A New Perspective on Data Processing (An Agri Data Case Study)
Nur Arifin Akbar, asro nasiri
This talk will explore the development and implementation of multi-modal data fusion processing using Python, with a focus on an agricultural data case study. The session will introduce a framework and techniques for effectively processing and utilizing diverse data types to enhance decision-making in agriculture. Attendees will learn about the application of transfer learning to improve data sharing and interoperability, considering factors such as suitability, affordability, openness, and acceptability.
CLASS #1