Pubblicazioni

EXPO-AGRI: Smart Automatic Greenhouse Control  (2017)

Autori:
Castellini, A.; Farinelli, A.; Minuto, G.; Quaglia, D.; Secco, I.; Tinivella, F.
Titolo:
EXPO-AGRI: Smart Automatic Greenhouse Control
Anno:
2017
Tipologia prodotto:
Contributo in atti di convegno
Tipologia ANVUR:
Contributo in Atti di convegno
Lingua:
Inglese
Formato:
A Stampa
Titolo del Convegno:
FoodCAS 2017 Electronics for Better Quality of Food, in IEEE Biomedical Circuits and Systems Conference (BioCAS 2017)
Luogo:
Torino, Italy
Periodo:
19-21 October 2017
Casa editrice:
IEEE
ISBN:
978-1-5090-5803-7
Intervallo pagine:
476-479
Parole chiave:
Logistic regression; Precision agriculture; Decision support system; Pest and disease forecast
Breve descrizione dei contenuti:
Predicting and controlling plant behavior in con- trolled environments is a growing requirement in precision agri- culture. In this context sensor networks and artificial intelligence methods represent key aspects for optimizing the processes of data acquisition, mathematical modeling and decision making. In this paper we present a general architecture for automatic greenhouse control. In particular, we focus on a preliminary model for predicting the risk of new infections of downy mildew of basil (Peronospora belbahrii) on sweet basil. The architecture has three main elements of innovation: new kinds of sensors are used to extract information about the state of the plants, model predictors are generated from this information by non-trivial processing methods, and informative predictors are automatically selected using regularization techniques.
Id prodotto:
99457
Handle IRIS:
11562/970438
ultima modifica:
20 gennaio 2019
Citazione bibliografica:
Castellini, A.; Farinelli, A.; Minuto, G.; Quaglia, D.; Secco, I.; Tinivella, F., EXPO-AGRI: Smart Automatic Greenhouse Control  in Proc. of 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)IEEEAtti di "FoodCAS 2017 Electronics for Better Quality of Food, in IEEE Biomedical Circuits and Systems Conference (BioCAS 2017)" , Torino, Italy , 19-21 October 2017 , 2017pp. 476-479

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo IRIS

Progetti Collegati
Titolo Dipartimento Responsabili
EXPO-AGRI - EXtra-field Plant Observation for monitoring and forecast of AGRicultural Infections - Joint Projects 2015 Dipartimento Informatica Davide Quaglia
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