Agrikola AI, a Barcelona-based agri-tech startup, has closed its Pre-Seed funding round with the participation of Zubi Capital, Norrsken VC, Masia VC and Ona Capital. The investment will accelerate the development and commercialization of the company's autonomous robotics and artificial intelligence technology designed to transform sustainable agriculture.

Founded and led by entrepreneur Ricard Pardell, Agrikola AI is developing autonomous electric unmanned ground vehicles (UGVs) that help farmers prevent fungal diseases without relying on chemical fungicides, offering a cleaner, more efficient and environmentally friendly alternative to traditional crop protection methods.

The company's mission is to eliminate the use of pesticides and significantly reduce the carbon footprint of agriculture by combining artificial intelligence, robotics and advanced data analytics.

Its autonomous robots integrate advanced sensors capable of monitoring crops in real time, detecting diseases and weeds, and collecting field data. Through big data and predictive AI models, the platform generates actionable insights that enable farmers to optimize crop management, improve yields and make more informed decisions.

The company addresses one of the agriculture sector's greatest challenges: accelerating the transition toward more sustainable production models that protect crops while reducing environmental impact and preserving ecosystems.

The investors highlighted Agrikola AI's potential to drive the next generation of agricultural technology, combining innovation, sustainability and measurable environmental impact.

The company believes that artificial intelligence and robotics will become fundamental tools in the future of agriculture, enabling producers to increase efficiency while reducing the use of chemical inputs and greenhouse gas emissions.

With the support of Zubi Capital, Norrsken VC, Masia VC and Ona Capital, Agrikola AI aims to strengthen its technology, expand its team and accelerate the deployment of its autonomous solutions, contributing to a more resilient, sustainable and climate-friendly agricultural sector.

Fuente: Agrikola AI

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