KEYWORD |
AGRI 4.0: imaging and machine learning techniques for agricultural monitoring
Thesis in external company
keywords AGRICOLTURE 4.0, MACHINE LEARNING, MONITORING, SUSTAINABILITY
Reference persons GABRIELE BERTAGNOLI
External reference persons Davide Masera
Thesis type PROGRAMMING AND EXPERIMENTAL
Description The student shoud develope a software grounding on machine learning techniques to investigate the presence of parasites in agriculture.
Required skills python programming, basic knowledge of computer vision techniques (like Roboflow or symilar)
Deadline 21/01/2026
PROPONI LA TUA CANDIDATURA