Archivio Istituzionale della RicercaWith the growth of world population and food demand, it is crucial to optimize water consumption for agriculture cultivation. Here we propose a method to monitor plant status, relating the measured parameters to the watering or drying situation of a single plant. Plant trunk electrical impedance measurements and environmental parameters were analyzed with a statistical approach. Correlation and causality among the data are showed and analyzed. In this way, it was possible to easily obtain the needed information about plant status.
Towards Optimal Green Plant Irrigation: Watering and Body Electrical Impedance / Garlando, Umberto; Bar-On, Lee; Ros, Paolo Motto; Sanginario, Alessandro; Peradotto, Sebastian; Shacham-Diamand, Yosi; Avni, Adi; Martina, Maurizio; Demarchi, Danilo. - ELETTRONICO. - (2020), pp. 1-5. (Intervento presentato al convegno 2020 IEEE International Symposium on Circuits and Systems (ISCAS) tenutosi a Sevilla, Spain nel 10-21 Oct. 2020) [10.1109/ISCAS45731.2020.9181290].
Towards Optimal Green Plant Irrigation: Watering and Body Electrical Impedance
Garlando, Umberto;Ros, Paolo Motto;Sanginario, Alessandro;Martina, Maurizio;Demarchi, Danilo
2020
Abstract
With the growth of world population and food demand, it is crucial to optimize water consumption for agriculture cultivation. Here we propose a method to monitor plant status, relating the measured parameters to the watering or drying situation of a single plant. Plant trunk electrical impedance measurements and environmental parameters were analyzed with a statistical approach. Correlation and causality among the data are showed and analyzed. In this way, it was possible to easily obtain the needed information about plant status.
| File | Dimensione | Formato | |
|---|---|---|---|
|
09181290.pdf
accesso riservato
Descrizione: Articolo principale
Tipologia:
2a Post-print versione editoriale / Version of Record
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
1.72 MB
Formato
Adobe PDF
|
1.72 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
|
FoodCAS2020.pdf
accesso aperto
Descrizione: Articolo principale
Tipologia:
2. Post-print / Author's Accepted Manuscript
Licenza:
Pubblico - Tutti i diritti riservati
Dimensione
641.84 kB
Formato
Adobe PDF
|
641.84 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2858379