KEYWORDS: Data communications, Sensors, Data modeling, Error analysis, Telecommunications, Human-machine interfaces, Antennas, Motion analysis, General packet radio service, Error control coding
The present paper describes the development of a novel monitoring system (e-FlyWatch system) for managing and controlling the population of two of the world’s most destructive fruit pests, namely the olive fruit fly (Bactrocera oleae, Rossi - formerly Dacus oleae) and the Mediterranean fruit fly (Ceratitis capitata, also called medfly). The novel monitoring system consists of a) novel automated traps with optical and motion detection modules for capturing the flies, b) local stations including a GSM/GPRS module, sensors, flash memory, battery, antenna etc. and c) a central station that collects, stores and publishes the results (i.e. insect population in each field, sensor data, possible error/alarm data) via a web-based management software.The centralised data collection system provides also analysis and prediction models, end-user warning modules and historical analysis of infested areas. The e-FlyWatch system enables the SMEs-producers in the Fruit, Vegetable and Olive sectors to improve their production reduce the amount of insecticides/pesticides used and consequently the labour cost for spraying activities, and the labour cost for traps inspection.
A national system for monitoring the population increase of agricultural pest "Lobesia Botrana" (vine moth/fly that
attacks grapes) in Cyprus has been developed. The system comprises of automated delta traps with GPS that use
wireless(Wi-Fi) camera, automated image analysis for identification of the specific fly species, Wi-Fi technology for
transferring the data using mobile telephony network to a central station for result presentation and analysis. A GIS
database was developed and included details of the pilot vineyards, environmental conditions and daily data of the
number of captured flies from each automated trap. The results were compared with MODIS and LANDSAT satellite
thermal images since the appearance of the vine fly is greatly dependent on the microclimate temperatures (degree days).
Results showed that satellite data can estimate accurately the appearance of the vine fly. The proposed system can be an
important tool for the improvement of a national Integrated Pest Management (IPM) system and it can also be used for
monitoring other agricultural pests and insects.
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