Assemblée des Régions Européennes Fruitières, Légumières et Horticoles

Projets EU

Smartprotect

La surveillance des insectes comme méthode préventive de lutte antiparasitaire

  

Les infestations de ravageurs dans les production de fruits et légumes génère d’importantes pertes économiques dues à la diminution de la productivité des cultures. Dans la lutte intégrée (en anglais, IPM - Integrated Pest Management), la prévention et la détection précoce des ravageurs grâce à la surveillance des insectes sont importantes. Pour cela, un outil efficace est l’utilisation de plaques chromotropes, de pièges et de diffuseurs de confusion sexuelle. 

La suite de l'article est uniquement disponible en anglais, ci-dessous :

 

AREFLH is a partner of SmartProtect project, SMART agriculture for innovative vegetable crop PROTECTion: harnessing advanced methodologies and technologies.

 

The increase of pests in production systems generates large economic losses due to decreased crop productivity. In IPM (Integrated Pest Management), prevention and early detection of pests through insect monitoring is important. For this, a good tool is the use of chromotropic plates, traps and sexual confusion diffusers.

 

Traps can be traditional, such as those offered by TRÉCÉ with its two product lines, PHEROCON and STORGARD. Or traps can be automatic, such as TRAPVIEW, developed by the company EFOS, or SNAPTRAP, developed by the company SNAPTRAP. TRAPVIEW is a trap with an automated pest control system that can be used for any type of insect.

 

It is energy-independent as it has a solar panel to send the images of the captures to a platform where they can be viewed, processed and archived securely, providing an overview of the situation in real time, and predicting a future pest situation. EFOS has developed a mobile application (TRAPVIEW app) where the information is available at all times.

 

To know more about the technologies please discover SmartProtec Platform

 

Know more about SmartProtect

 

This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 862563.

 

 

 

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