WAMS - an adaptive system for knowledge acquisition and decision support: the case of Scaphoideus titanus
Articolo
Data di Pubblicazione:
2013
Citazione:
WAMS - an adaptive system for knowledge acquisition and decision support: the case of Scaphoideus titanus / M. Prevostini, A.V. Taddeo, K. Balac, I.E. Rigamonti, J. Baumgärtner, M. Jermini. - In: IOBC/WPRS BULLETIN. - ISSN 1027-3115. - 85:(2013), pp. 57-64.
Abstract:
WAMS (Wireless-sensor-network-based Adaptive Management System) is a pest control
tool that makes continuous use of weather and pest monitoring information for the dual purpose of
improving the knowledge on pest systems and ameliorating pest management decisions. It operates at
the interface between research and pest management, establishes a close-loop between monitoring,
management and analysis of systems, and automatically improves the reliability of pest control
relevant predictions as soon as additional information becomes available. Population models, based on
time-varying distributed delays, are at the core of WAMS. The paper identifies some important
WAMS features, evaluates the predictive capabilities and its alert mechanisms as satisfactory, and
reports some preliminary experiences that reveal advantages and benefits in the areas of (i) knowledge
improvement and (ii) control rationalization. The preliminary experiences also point to some
drawbacks and shortcomings related mainly to (i) the need of a continuous engagement of actors
(growers, extensionists, applied entomologists) and (ii) the importance given to the vector in the case
of the case of an economically relevant pathogen-vector-host plant system
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
integrated control ; historical temperatures ; real-time temperature ; pest monitoring ; autoadaptiveness ;
decision support system ; wireless sensor networks
Elenco autori:
M. Prevostini, A.V. Taddeo, K. Balac, I.E. Rigamonti, J. Baumgärtner, M. Jermini
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