CUM, FEDERICO

CUM, FEDERICO  

Dipartimento di Elettronica e Telecomunicazioni  

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Citazione Data di pubblicazione Autori File
Evaluation of Machine Learning Models for Water Stress Detection Using Stem Impedance / Cum, Federico; Calvo, Stefano; Sanginario, Alessandro; Garlando, Umberto. - In: IEEE TRANSACTIONS ON AGRIFOOD ELECTRONICS.. - ISSN 2771-9529. - ELETTRONICO. - (2024), pp. 1-9. [10.1109/tafe.2024.3457156] 1-gen-2024 Cum, FedericoCalvo, StefanoSanginario, AlessandroGarlando, Umberto Evaluation_of_Machine_Learning_Models_for_Water_Stress_Detection_Using_Stem_Impedance.pdf
Machine Learning Models Comparison for Water Stress Detection Based on Stem Electrical Impedance Measurements / Cum, Federico; Calvo, Stefano; Demarchi, Danilo; Garlando, Umberto. - ELETTRONICO. - (2023), pp. 108-112. (Intervento presentato al convegno 2023 IEEE Conference on AgriFood Electronics (CAFE) tenutosi a Torino (Italy) nel 25-27 September 2023) [10.1109/CAFE58535.2023.10291805]. 1-gen-2023 Cum, FedericoCalvo, StefanoDemarchi, DaniloGarlando, Umberto Machine_Learning_Models_Comparison_for_Water_Stress_Detection_Based_on_Stem_Electrical_Impedance_Measurements.pdfMachine Learning Models Comparison for Water Stress Detection based on Stem Electrical Impedance Measurements.pdf
On the impact of the stem electrical impedance in neural network algorithms for plant monitoring applications / Barezzi, M; Cum, F; Garlando, U; Martina, M; Demarchi, D. - ELETTRONICO. - (2022), pp. 131-135. (Intervento presentato al convegno 2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) tenutosi a Perugia, Italy nel 03-05 November 2022) [10.1109/METROAGRIFOR55389.2022.9965011]. 1-gen-2022 Barezzi, MCum, FGarlando, UMartina, MDemarchi, D On_the_impact_of_the_stem_electrical_impedance_in_neural_network_algorithms_for_plant_monitoring_applications.pdfConference_Paper_MetroAgriFor2022__Final_Paper_.pdf