Agrikola AI, a Barcelona-based agri‑tech startup, has closed a pre‑seed funding round to accelerate deployment of its autonomous robotics and AI solutions aimed at cutting pesticide use and boosting resilient crop production. The fresh capital will be used to push prototypes into the field, expand the team and commercialize a system designed to detect and prevent fungal crop diseases without relying on chemical fungicides.
Founding and mission
Founded and led by Ricard Pardell, Agrikola AI positions itself at the intersection of robotics, data analytics and sustainable agriculture. Its stated mission is to reduce agriculture’s carbon footprint and the sector’s dependency on pesticides by offering farmers an alternative based on real‑time monitoring and targeted interventions.
Autonomous robotics and sensing
The company develops electric unmanned ground vehicles equipped with advanced sensors to scan fields continuously. These autonomous machines capture high‑resolution crop and soil data, identify early signs of fungal crop diseases and detect weeds, then feed that information into predictive AI models to generate actionable insights for growers.
AI and decision support
Agrikola AI’s algorithms analyze time series data and environmental signals to forecast disease risk and prescribe precise management actions. The platform aims to move farmers from reactive spraying to preventive, data‑driven crop protection, improving yields while minimizing chemical inputs.
Funding and deployment plans
The pre‑seed round included participation from Zubi Capital, Norrsken VC, Masia VC and Ona Capital. Agrikola AI says the investment will strengthen product development, accelerate field trials and support initial commercial roll‑out. The company plans to scale manufacturing of its unmanned ground vehicles and expand its engineering and agronomy teams.
Environmental and market impact
By combining autonomous robotics with AI, Agrikola AI targets measurable environmental benefits: lower fungicide use, reduced emissions from field operations and more resource‑efficient crop management. Investors highlighted the startup’s potential to contribute to next‑generation agricultural technology that aligns innovation with climate goals.
Challenges and outlook
Scaling from prototypes to reliable fleet operations will require rigorous field validation, farmer adoption and cost reductions in hardware manufacturing. Regulatory acceptance and integration with existing farm management systems are additional hurdles. Still, the shift toward precision, autonomous solutions suggests a receptive market for technologies that demonstrably reduce pesticide dependence.
A new phase for agritech
With fresh funding and a clear focus on autonomous robotics, AI and sustainable agriculture, Agrikola AI enters a critical growth phase. If its unmanned ground vehicles and predictive models deliver consistent disease prevention in diverse crops and conditions, the startup could offer farmers a viable path away from routine fungicide use toward more climate‑resilient, data‑driven farming.
