"Quantitative prediction of grape ripening parameters combining an ..."

Alessio Tugnolo et al. (2025)

> Home

Details and statistics

DOI: 10.1016/J.COMPAG.2024.109856

access: closed

type: Journal Article

metadata version: 2025-02-16

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cea/TugnoloOGFSFGPCPFGB25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cea/TugnoloOGFSFGPCPFGB25
Alessio Tugnolo, Hugo M. Oliveira, Valentina Giovenzana, Natacha Fontes, Sara Silva, Cristina Fernandes, António Graça, Alessia Pampuri, Andrea Casson, João Piteira, Paulo Freitas, Riccardo Guidetti, Roberto Beghi:
Quantitative prediction of grape ripening parameters combining an autonomous IoT spectral sensing system and chemometrics. Comput. Electron. Agric. 230: 109856 (2025)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.