Nicola Dilillo

Nicola Dilillo is a PhD Student in Computer and Systems Engineering (38th cycle, 2022-2025) at the Department of Control and Computer Science (DAUIN) of Politecnico di Torino. He also serves as an External Collaborator for Internationalization, Cooperation, Alliances and Mobility (INCAM) and as an External lecturer and/or teaching assistant at DAUIN.

His educational background includes:

• Bachelor's degree in Computer Engineering (specializing in Embedded Systems) from Politecnico di Torino
• Master's degree in Computer Engineering (specializing in Embedded Systems) from Politecnico di Torino

His research focuses on Smart Agriculture, integrating advanced technologies to address agri-food sector challenges. He develops AI and computer vision solutions for soil moisture prediction using recurrent neural networks (RNN, GRU, LSTM), multispectral imaging for crop health assessment, and deep learning for weed detection. His work aims to optimize resource use, increase yields, and reduce environmental impact through precision farming.

His recent publications (2024-2025) demonstrate a strong trend in applying artificial intelligence to agricultural problems, particularly in soil moisture modeling, crop classification via spectral analysis, and sustainable practices using biofertilizers. The research spans computer vision, machine learning, and environmental science, highlighting interdisciplinary approaches for sustainable farming.

No information on student advising or research grants was provided in the available text.

He is an active member of the CAD - Electronic CAD & Reliability Group at DAUIN, contributing to research in electronic design and reliability.