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  KEYWORD

AGRI 4.0: imaging and machine learning techniques for agricultural monitoring

azienda 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