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Computer vision is redefining the future of agriculture. By joining this cohort we aim to accelerate the adoption of AI tools that improve productivity traceability and decision-making across the seed industry.
PCS AGRI is advancing AI-driven agritech solutions that apply computer vision deep learning and IoT sensors to transform agricultural productivity and seed quality monitoring across Africa and beyond. Founded by Tahar Hamdani an agronomic engineer and MBA graduate with more than a decade of experience in multinational agrifood companies the startup addresses a critical gap: the lack of scalable digital tools that help producers and nurseries optimize resources reduce losses and improve traceability. Its flagship platform Track Seeds enables automated germination counting seedling quality classification and QR-based traceability through a mobile and web application. Additional solutions including Track Tom (tomato yield and fruit-load analytics) and EcoTrap (AI-based pest detection and pesticide optimization) help farmers and agribusinesses reduce input waste enhance seed quality assurance and make data-driven decisions with accuracy rates reaching up to 99%. Through the Compute Accelerator's Ready Track PCS AGRI will optimize its AI models for large-scale deployment leveraging GPU and cloud-based processing to enhance image recognition and real-time decision support for field operations. With two patents filed in 2024 customers in Morocco Spain Turkey and the Netherlands and a roadmap targeting multi-country expansion by 2026 PCS AGRI represents a new wave of AI-powered agritech innovation building more resilient and sustainable food systems. As part of the AI Hub for Sustainable Development PCS AGRI seeks partnerships with research institutions seed companies and technology providers to validate AI models across diverse crops and geographies. We also welcome support in scaling cloud and GPU infrastructure participating in agriculture fairs and co-developing open innovation frameworks for the seed sector.
