Articles
Implementation, customization and functional evaluation of a location aware decision support system for precise management of Lepidoptera in Greek peach orchards of Pella, Greece
Article number
1352_69
Pages
509 – 516
Language
English
Abstract
Professionals in the agricultural field, along with growers, extension agents, and researchers, need a facility to predict region specific pest activity and optimize pest management.
The objective of the current study is the implementation, customization and functional evaluation of a commercial web-based Decision Support System (DSS) for predicting the emergence and seasonal activity of important Lepidoptera that are damaging peach including: Anarsia lineatella, Grapholita molesta and Adoxophyes orana. In addition, the spatial assessment of the pest predictions at different location in Pella Prefecture in northern Greece is of special interest.
The DSS that is installed consists of two parts: a remote weather station that deliver real time data to a cloud server and the software system which generates degree-days (DDs) pest predictions.
The DSS was initially customized to generate predictions for the species of interest by using pest specific growth parameters that were developed in previous field studies.
In a second phase the network of the DSS weather stations has been expanded to provide pest predictions in to new peach growing areas characterized by different microenvironmental conditions.
So far, the functionality and the performance of the DSS is judged well since it provides predictions for the start (10% of moth emergence) and the peak (50% of moth emergence) that are in most cases at acceptable levels.
The investigations on the DSSs performance in terms of pest predictions into new areas are ongoing.
Nevertheless, preliminary results suggest that the DSS has the perspective to be extended into new areas and especially to nearby locations that share similar landscape and microenvironment characteristics.
Concluding, since the use of pesticides is still a vital component of integrated pest management (IPM) in peach production the current work providing a means for increasing their efficacy and contribute to their rational use.
The objective of the current study is the implementation, customization and functional evaluation of a commercial web-based Decision Support System (DSS) for predicting the emergence and seasonal activity of important Lepidoptera that are damaging peach including: Anarsia lineatella, Grapholita molesta and Adoxophyes orana. In addition, the spatial assessment of the pest predictions at different location in Pella Prefecture in northern Greece is of special interest.
The DSS that is installed consists of two parts: a remote weather station that deliver real time data to a cloud server and the software system which generates degree-days (DDs) pest predictions.
The DSS was initially customized to generate predictions for the species of interest by using pest specific growth parameters that were developed in previous field studies.
In a second phase the network of the DSS weather stations has been expanded to provide pest predictions in to new peach growing areas characterized by different microenvironmental conditions.
So far, the functionality and the performance of the DSS is judged well since it provides predictions for the start (10% of moth emergence) and the peak (50% of moth emergence) that are in most cases at acceptable levels.
The investigations on the DSSs performance in terms of pest predictions into new areas are ongoing.
Nevertheless, preliminary results suggest that the DSS has the perspective to be extended into new areas and especially to nearby locations that share similar landscape and microenvironment characteristics.
Concluding, since the use of pesticides is still a vital component of integrated pest management (IPM) in peach production the current work providing a means for increasing their efficacy and contribute to their rational use.
Publication
Authors
P. Damos, P. Soulopoulou, D. Gkouderis, D. Monastiridis, M. Vrettou, D. Sakellariou, T. Thomidis
Keywords
Anarsia lineatella, Grapholita molesta, Adoxophyes orana, degree-days, DSS, IPM
Groups involved
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