"An AI-empowered energy-efficient portable NIRS solution for precision ..."

Giulia Cisotto et al. (2024)

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DOI: 10.15439/2024F5111

access: open

type: Conference or Workshop Paper

metadata version: 2024-12-04

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Giulia Cisotto, Tegegn Dagmawi Delelegn, Alberto Zancanaro, Ivan Reguzzoni, Edoardo Lotti, Sara L. Manzoni, Italo Francesco Zoppis:
An AI-empowered energy-efficient portable NIRS solution for precision agriculture: A pilot study on a citrus fruit. FedCSIS 2024: 313-318

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