אסיף מאגר המחקר החקלאי

An automatic system for Mediterranean fruit fly monitoring

Year:

2015

Source of publication :

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Co-Authors:

Goldshtein, E., Agricultural Research Organization (ARO), Volcani Center, Institute of Agricultural Engineering, P.O. Box 6, Bet Dagan, Israel
Cohen, Y., Agricultural Research Organization (ARO), Volcani Center, Institute of Agricultural Engineering, P.O. Box 6, Bet Dagan, Israel
Timar, D., Israel Cohen Institute for Biological Control, Plant Production and Marketing Board, P.O. Box 19, Ness-Ziona, Israel
Rosenfeld, L., Agricultural Research Organization (ARO), Volcani Center, Institute of Agricultural Engineering, P.O. Box 6, Bet Dagan, Israel
Grinshpon, Y., Agricultural Research Organization (ARO), Volcani Center, Institute of Agricultural Engineering, P.O. Box 6, Bet Dagan, Israel
Gazit, Y., Israel Cohen Institute for Biological Control, Plant Production and Marketing Board, P.O. Box 19, Ness-Ziona, Israel
Hoffman, A., Agricultural Research Organization (ARO), Volcani Center, Institute of Agricultural Engineering, P.O. Box 6, Bet Dagan, Israel
Mizrach, A., Agricultural Research Organization (ARO), Volcani Center, Institute of Agricultural Engineering, P.O. Box 6, Bet Dagan, Israel
Alchanatis, V., Agricultural Research Organization (ARO), Volcani Center, Institute of Agricultural Engineering, P.O. Box 6, Bet Dagan, Israel

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Abstract:

The Mediterranean fruit fly (MFF) is a major pest of fruit crops in the Near East and worldwide. The current MFF weekly monitoring methodology results in a sub-optimal spraying frequency. This paper describes the first step in the development of an automatic trap for sequential MFF monitoring. Examination of trap performance in commercial orchards shows that these traps have acceptable sensitivity in comparison to regular traps and they accurately count the trapped flies (93-100%). In general there is very low over-counting but they still suffer from false counting mainly because of entries of ants and rain drops. This kind of trap can be used to continuously monitor the in-field variability of MFF infestation and improve its control.

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