Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 38th cycle (2022-2025)
Department of Electronics and Telecommunications (DET)
Adjunct lecturer/Adjunct instructor
Department of Electronics and Telecommunications (DET)
Profile
PhD
Research topic
Monitoring of agricultural crops through the use of drones and innovative IoT sensors
Tutors
- Danilo Demarchi
- Christian Di Benedetto
Keywords
Teaching
Teachings
Master of Science
- Circuits and electrical engineering and Electronic systems (modulo di Electronic systems). A.A. 2025/26, AGRITECH ENGINEERING. Collaboratore del corso
- Circuits and electrical engineering and Electronic systems (modulo di Electronic systems). A.A. 2024/25, AGRITECH ENGINEERING. Collaboratore del corso
- Circuits and electrical engineering and Electronic systems (modulo di Electronic systems). A.A. 2023/24, AGRITECH ENGINEERING. Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Cum, Federico; Alfarano, Luca; Pugliese, Massimo; Demarchi, Danilo; Garlando, Umberto (2025)
LSTM Neural Networks Anomaly Detection for Biotic and Abiotic Early Stress Detection on Tomato Plants. In: IEEE TRANSACTIONS ON AGRIFOOD ELECTRONICS., vol. 3, pp. 348-356. ISSN 2771-9529
Contributo su Rivista - Cum, Federico; Calvo, Stefano; Sanginario, Alessandro; Garlando, Umberto (2024)
Evaluation of Machine Learning Models for Water Stress Detection Using Stem Impedance. In: IEEE TRANSACTIONS ON AGRIFOOD ELECTRONICS., pp. 1-9. ISSN 2771-9529
Contributo su Rivista - Cum, F.; Alfarano, L.; Pugliese, M.; Demarchi, D.; Garlando, U. (2024)
Preliminary Analysis of Biotic and Abiotic Stress on Tomato Plants Using Impedance Measurements and Time Series Clustering. In: IEEE Conference on Agrifood Electronics 2024, Xanthi (Gre), 26-28 September 2024, pp. 125-129. ISBN: 979-8-3315-2730-3
Contributo in Atti di Convegno (Proceeding) - Cum, Federico; Calvo, Stefano; Demarchi, Danilo; Garlando, Umberto (2023)
Machine Learning Models Comparison for Water Stress Detection Based on Stem Electrical Impedance Measurements. In: 2023 IEEE Conference on AgriFood Electronics (CAFE), Torino (Italy), 25-27 September 2023, pp. 108-112. ISBN: 979-8-3503-2711-3
Contributo in Atti di Convegno (Proceeding) - Barezzi, M; Cum, F; Garlando, U; Martina, M; Demarchi, D (2022)
On the impact of the stem electrical impedance in neural network algorithms for plant monitoring applications. In: 2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), Perugia, Italy, 03-05 November 2022, pp. 131-135. ISBN: 978-1-6654-6998-2
Contributo in Atti di Convegno (Proceeding)