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Eugenio Nemmi

Sapienza University of Rome

Piazzale Aldo Moro 5

Roma, 00185

Italy

  • Sapienza University of Rome

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Scholarly Papers (1)

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Vie-Net: Regressive U-Net for Vegetation Index Estimation

Number of pages: 16 Posted: 22 Jun 2024
Valerio Capparella, Eugenio Nemmi, simona violino, Corrado Costa, Simone Figorilli, Lavinia Moscovini, Federico Pallottino, Catello Pane, Alessandro Mei and Luciano ORTENZI
Sapienza University of Rome, Sapienza University of Rome, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Sapienza University of Rome and University of Tuscia
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Abstract:

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Vegetation indexes, end-to-end approach, open source machine learning application, AI-powered sensors, regressive convolutional neural network, RGB sensor, remote and proximal sensing.