SOURCE-LINKED INTELLIGENCE
Real-time nutrient sensing for mapping fertilizer needs
will develop our business model and drive product development. Collaborating with potential customers early on will be key for (i) deploying our technology to create the dataset needed to consolidate machine learning-based predictions and for (ii) testing the business model and verify our competitive position in the intended market. The insights gained from potential customers will be combined with a detailed stakeholder and market analysis to validate the business model and pricing strategy. We will be able to identify and engage key strategic partners such as agricultural and digital businesses. In this way, we can build and strengthen our network to highlight the unique value of our approach as a tool for reorienting towards a more sustainable and resource-efficient agriculture in Europe and beyond. The project results will be commercially exploited by a company that will over a subscription-based fertilization recommendation service to farmers. precision farming, artificial intelligence, fertilizer, Point-of-use sensing, User-involvement, Big data
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2499955
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.