Assembly of European Horticultural Regions

EU projects

SmartProtect and the Natutec Scout app

SmartProtect presents the Natutec Scout App a Digital IPM System.

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AREFLH is a partner of SmartProtect project, SMART agriculture for innovative vegetable crop PROTECTion: harnessing advanced methodologies and technologies. The project has selected the Natutec Scout App to feature on its platform.


Natutec Scout is a platform to quickly and easily provide insight into the pest status of greenhouses.  The covert biological system Natutec scout is a single tool that makes the scouting process more efficient simpler and more valuable. You can register your observation directly with the mobile app and this is a time-saver.  


Scan the trap card , then the white fly is automatically registered and counted.  

The farm worker must have their phone close to the car to start and zoom out. Natutec Scout offers a slowly scanning option, and it will be available for trips in the future. 


You can upload the scouting data quickly and easily to the Natutec scout dashboard : it will give good insight and extensive analysis.  


Whatever the situation, the consultant is always available (remotely) for the farm worker in the case of viruses in the crop. The Natutec scout features smart and extensive options for analysis and alerts, thus giving you optimal timing for starting biological solutions. 


You can manage the healthiest possible crop scouting data in one place with one tool. The central data storage is accessible everywhere and fully customizable with threshold alert for diseases. The specific scan feature is extremely fast, with 94% accuracy on the white fly.   


  • Farm scale type: Big scale, small scale  
  • Application ranges: Insects, Beneficial’s,  
  • Crops Used: Bell pepper, Cucumber, Lettuce, Raspberry, Tomato 
  • Country it is used in: Netherlands
  • Production Systems: Greenhouse, Open field 


Read more on this technology on the SmartProtect Platform 


Know more about SmartProtect


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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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