Archivio Istituzionale della RicercaCUM, FEDERICO
CUM, FEDERICO
Dipartimento di Elettronica e Telecomunicazioni
065712
Mostra
records
Risultati 1 - 5 di 5 (tempo di esecuzione: 0.008 secondi).
LSTM Neural Networks Anomaly Detection for Biotic and Abiotic Early Stress Detection on Tomato Plants
2025 Cum, Federico; Alfarano, Luca; Pugliese, Massimo; Demarchi, Danilo; Garlando, Umberto
Evaluation of Machine Learning Models for Water Stress Detection Using Stem Impedance
2024 Cum, Federico; Calvo, Stefano; Sanginario, Alessandro; Garlando, Umberto
Preliminary Analysis of Biotic and Abiotic Stress on Tomato Plants Using Impedance Measurements and Time Series Clustering
2024 Cum, F.; Alfarano, L.; Pugliese, M.; Demarchi, D.; Garlando, U.
Machine Learning Models Comparison for Water Stress Detection Based on Stem Electrical Impedance Measurements
2023 Cum, Federico; Calvo, Stefano; Demarchi, Danilo; Garlando, Umberto
On the impact of the stem electrical impedance in neural network algorithms for plant monitoring applications
2022 Barezzi, M; Cum, F; Garlando, U; Martina, M; Demarchi, D
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| LSTM Neural Networks Anomaly Detection for Biotic and Abiotic Early Stress Detection on Tomato Plants / Cum, Federico; Alfarano, Luca; Pugliese, Massimo; Demarchi, Danilo; Garlando, Umberto. - In: IEEE TRANSACTIONS ON AGRIFOOD ELECTRONICS.. - ISSN 2771-9529. - 3:2(2025), pp. 348-356. [10.1109/TAFE.2025.3605825] | 1-gen-2025 | Federico CumLuca AlfaranoDanilo DemarchiUmberto Garlando + | LSTM_Neural_Networks_Anomaly_Detection_for_Biotic_and_Abiotic_Early_Stress_Detection_on_Tomato_Plants.pdf |
| 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 |
| Preliminary Analysis of Biotic and Abiotic Stress on Tomato Plants Using Impedance Measurements and Time Series Clustering / Cum, F.; Alfarano, L.; Pugliese, M.; Demarchi, D.; Garlando, U.. - (2024), pp. 125-129. ( IEEE Conference on Agrifood Electronics 2024 Xanthi (Gre) 26-28 September 2024) [10.1109/CAFE63183.2024.11069327]. | 1-gen-2024 | Cum F.Alfarano L.Demarchi D.Garlando U. + | Preliminary_Analysis_of_Biotic_and_Abiotic_Stress_on_Tomato_Plants_Using_Impedance_Measurements_and_Time_Series_Clustering.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. ( 2023 IEEE Conference on AgriFood Electronics (CAFE) Torino (Italy) 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.pdf; Machine 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. ( 2022 IEEE Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) Perugia, Italy 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.pdf; Conference_Paper_MetroAgriFor2022__Final_Paper_.pdf |