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An AI-empowered energy-efficient portable NIRS solution for precision agriculture: A pilot study on a citrus fruit
2024 Cisotto, G; Tegegn, D; Zancanaro, A; Reguzzoni, I; Lotti, E; Manzoni, S; Zoppis, I
Process of analyzing organic materials, based on processing of near infrared spectra through advanced methods
2023 Tegegn, D
Variational Autoencoder for Early Stress Detection in Smart Agriculture: A Pilot Study
2022 Zancanaro, A; Cisotto, G; Tegegn, D; Manzoni, S; Reguzzoni, I; Lotti, E; Zoppis, I
Rapid Analysis of Powders Based on Deep Learning, Near-Infrared and Derivative Spectroscopy
2021 Delelegn, T; Zoppis, I; Manzoni, S; Mognato, A; Reguzzoni, I; Lotti, E
Convolutional Neural Networks for Quantitative Prediction of Different Organic Materials using Near-Infrared Spectrum
2021 Tegegn, D; Zoppis, I; Manzoni, S; Sas, C; Lotti, E
| Titolo | Tipologia | Data di pubblicazione | Autori | File |
|---|---|---|---|---|
| An AI-empowered energy-efficient portable NIRS solution for precision agriculture: A pilot study on a citrus fruit | 02 - Intervento a convegno | 2024 | Cisotto G.Tegegn D. D.Manzoni S. L.Zoppis I. F. + | |
| Process of analyzing organic materials, based on processing of near infrared spectra through advanced methods | 07 - Tesi di dottorato Bicocca post 2009 | 2023 | TEGEGN, DAGMAWI DELELEGN | |
| Variational Autoencoder for Early Stress Detection in Smart Agriculture: A Pilot Study | 02 - Intervento a convegno | 2022 | Cisotto G.Tegegn D. D.Manzoni S. L.Zoppis I. + | |
| Rapid Analysis of Powders Based on Deep Learning, Near-Infrared and Derivative Spectroscopy | 02 - Intervento a convegno | 2021 | Delelegn, TDZoppis, IFManzoni, SMognato, A + | |
| Convolutional Neural Networks for Quantitative Prediction of Different Organic Materials using Near-Infrared Spectrum | 02 - Intervento a convegno | 2021 | Delelegn, TegegnZoppis, ItaloManzoni, Sara + |
Mostrati risultati da 1 a 5 di 5
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