Assemblée des Régions Européennes Fruitières, Légumières et Horticoles

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SmartProtect présente Agrivi

Le logiciel de gestion agricole Agrivi est un outil innovant mis en avant par le projet SmartProtect.

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Article uniquement disponible en anglais

 

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

The project includes in its framework Agriv, a software helping the agriculture industry by digitalizing agriculture and changing the way food is produced. Agrivi digital agriculture solutions help producers produce healthy safe and nutritious food in an efficient and sustainable way. Digital agriculture technologies offer a simpler and smarter way of doing work. Information straight from the field is available in just a few clicks. Making data-driven decisions and securing complete traceability for the food standards was never stay easy. From planting the harvesting. From food processing to retail. Agrivi solutions support companies across the entire food value chain in implementing digital transformation projects.

 

Agrivi farm management software helps you plan, monitor and analyze all activities on your farm easily. Tillage, planting, crop protection, fertilization, irrigation, harvesting and all other activities are managed with a few clicks. Plus, you can track input usage quantities, costs and work hours for every activity.  With a knowledge-based of best practice processes for over 100 crops, start improving your productivity now.

Get an instant overview of a 7-day weather forecast or 3-years history for every field. Advanced detection algorithms alarm farmers if there is a risk of an insect pest or disease occurrence on their fields.

 

  • Farm scale type: Big scale, Small scale
  • Application ranges: Bacteria, Funghi, Insects, Mites, Nematodes, Viruses
  • Crops Used: All
  • Country used: All

 

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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