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EXPO-AGRI: Smart Automatic Greenhouse Control  (2017)

Authors:
Castellini, A.; Farinelli, A.; Minuto, G.; Quaglia, D.; Secco, I.; Tinivella, F.
Title:
EXPO-AGRI: Smart Automatic Greenhouse Control
Year:
2017
Type of item:
Contributo in atti di convegno
Tipologia ANVUR:
Contributo in Atti di convegno
Language:
Inglese
Format:
A Stampa
Congresso:
BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE
Place:
Torino, Italy
Period:
19-21 October 2017
Publisher:
IEEE
ISBN:
978-1-5090-5803-7
Page numbers:
476-479
Keyword:
Logistic regression; Precision agriculture; Decision support system; Pest and disease forecast
Short description of contents:
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.
Product ID:
99457
Handle IRIS:
11562/970438
Last Modified:
November 15, 2022
Bibliographic citation:
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)IEEEProceedings of "BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE" , Torino, Italy , 19-21 October 2017 , 2017pp. 476-479

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Title Department Managers
JP2015 - EXPO-AGRI - Osservazione degli impianti oltre campo per il monitoraggio e la previsione delle infezioni agricole Department Informatica Davide Quaglia
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