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Nicola Dilillo

Ph.D. in Ingegneria Informatica E Dei Sistemi , 38th cycle (2022-2025)

Ph.D. obtained in 2026

Dissertation:

Smart Systems for Precision Agriculture (Abstract)

Tutors:

Maurizio Rebaudengo Renato Ferrero

Profile

Research topic

Smart Systems for Precision Agriculture

Keywords

Data science, Computer vision and AI
Life sciences

Biography

I am Nicola Dilillo, a researcher in Smart Agriculture integrating advanced technologies to address key challenges in the agri-food sector. I completed my Bachelor's and Master's degrees at Politecnico di Torino in Computer Engineering, specializing in Embedded Systems. I am pursuing a PhD in Computer and Control Engineering to improve farming practices' productivity, sustainability, and efficiency.

My research uses AI, sensors, and computer vision to optimize resource use and support agricultural decision-making. I use machine learning models like RNN, GRU, and LSTM to predict soil moisture, enabling smarter irrigation management and reducing water waste.

I also work on multispectral analysis to enhance plant health assessments by selecting key wavelengths, improving accuracy while reducing complexity. Additionally, I use deep learning with RGB and NIR imaging for weed detection, promoting precision farming and reducing chemical use.

I have investigated wireless communication in cold chain logistics, comparing RFID and Bluetooth for sensor data, showing Bluetooth's advantages in reliability and configurability.

I aim to develop smart systems that help farmers manage resources efficiently and sustainably.

Teaching

Teachings

Bachelor of Science

  • Informatica. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
  • Informatica. A.A. 2023/24, INGEGNERIA INFORMATICA. Collaboratore del corso
MostraNascondi A.A. passati

Publications

Works published during the Ph.D. View all publications in Porto@Iris

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