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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 |
|---|---|---|---|
| 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.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. (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.pdf; Conference_Paper_MetroAgriFor2022__Final_Paper_.pdf |