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Last update : January 2026
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Electronic Traps for the Mediterranean Fruit Fly, Ceratitis capitata Monitoring and Control, with Focus on the Project FruitFlyNet-ii
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Precision agriculture uses technologies at the field level to obtain accurate and instantaneous parameters - such as climatic data, infestation levels, and pest population dynamics - allowing better precision compared to conventional methods.
The Mediterranean fruit fly, Ceratitis capitata (MedFly), is the most damaging pest of Mediterranean soft fruits, causing significant economic losses annually. Current control methods rely on monitoring adult flies using various types of sexual and/or food traps (Delta, McPhail, Tephri, and others), as well as assessing fruit veraison, BBCH stages, and fruit infestation to make decisions on spraying and/or adult mass trapping.
Without gathering information on pest dynamics and related ecological factors, it is nearly impossible to implement effective pest control at the right location and time. Traditional pest control methods - including manual trap inspection - to obtain reliable data and inform control decisions can be challenging. Identifying captured insects requires specialists, and data acquisition and analysis often face delays that may take weeks before insecticide sprays are applied. Additionally, recording traps can be costly, and transportation poses logistical difficulties.
Recent technological advances have focused on developing electronic insect trap systems that automate pest detection, counting, and environmental data collection. These systems enhance Integrated Pest Management (IPM) by promoting sustainability and precision control.
Monitoring pests with automatic electronic traps (e-traps) provides more accurate information about targeted insect abundance. When geo-located, this data enables a better understanding of the spatial and temporal distribution of the pest.
Within the framework of the ENI CBC Mediterranean Sea Basin Programme's FruitFlyNet-ii Project, in which the first author participated, a Location Aware System (LAS) for MedFly ground spraying control was developed. This system includes electronic traps and a digital decision support service (DSS) tested in peach orchards.
The system features a new model of 3D-printed Delta e-trap equipped with: (1) a solar panel mounted on one side providing continuous power via a rechargeable battery, charging during daylight hours to run sensors, cameras, and communication modules at night or on cloudy days, (2) a camera integrated inside the trap allowing early insect detection on the sticky surface, capturing photos twice daily and (3) a cellular 3G/4G dongle for real-time data transmission to a central station.
The traps are baited with either a food attractant for females (three compounds, Biolure) or the parapheromone trimedlure, which attracts males.
Captured images are analyzed by specially designed software using image recognition algorithms. Identification is based on morphological characteristics such as wing spots, color, size, and ovipositor shape, enabling recognition of insect type and sex through algorithms developed by computer scientists. This allows early detection, continuous monitoring, and automated identification.
The captured data - including insect counts and environmental parameters (temperature, relative humidity, wind speed) provided by an automatic weather station - is transmitted wirelessly to a centralized platform accessible via web or smartphone applications. These data feed into sophisticated e-services supporting IPM decision-making, including spraying track maps, risk assessments, and e-guides for precise pest management.
This system enables farmers to detect the insect presence early and apply insecticides only where and when necessary, using spatial maps of population hotspots. This minimizes environmental contamination and reduces production costs. The innovation drastically cuts labor costs and error rates associated with manual trap monitoring while providing real-time pest surveillance at fine spatial and temporal scales.
Despite the clear advantages of using e-traps for monitoring and controlling MedFly, some limitations hinder large-scale adoption: (1) the initial cost to assemble the e-trap, (2) electronic components require regular maintenance, including battery replacement, cleaning, and occasional repairs, and (3) the system requires good internet coverage, which may be lacking in remote rural areas.
Prof. Mohamed Braham & Dr. Hassib Benkhedher,
CRRHAB Chott-Mariem,
University of Sousse, Tunisia
