In recent years, significant efforts have been made to integrate information and communication technologies into agriculture, aiming to tackle challenges like climate change, growing populations, and the shift towards organic farming methods. Organic agriculture avoids synthetic chemicals, relying instead on sustainable practices to improve biodiversity and soil health, but its complexity necessitates continuous monitoring and effective management. Education and knowledge dissemination are key factors in achieving UNESCO's Sustainable Development Goals (SDGs).

This paper describes the development of a web-based biocultural knowledge management system (KMS) designed to support organic farmers by providing real-time advice, sharing expertise, and fostering collaboration. The system integrates sensors, IoT, and automation technologies, managing extensive agricultural data through structured processes. Through systematic analysis - including user interviews and technology assessments -the authors identified essential user requirements, highlighting the need for user-friendly interfaces, proactive knowledge retention, mobile accessibility, and the integration of artificial intelligence.

The proposed KMS aims to consolidate validated agricultural knowledge in various digital formats, offering training opportunities, practical support, and lifelong learning resources for organic farmers, advisors, and related stakeholders. Additionally, the platform will serve as a foundation for training artificial intelligence models, specifically aimed at developing lifelong learning resources and frugal AI solutions tailored to organic agriculture, enabling personalized and efficient decision-making support. Emphasizing open data standards and interoperability, the system seeks to advance sustainable agricultural practices, enhance digital skills among users, and contribute to the broader digital transformation of the agricultural sector.

Keywords: Biocultural platform, Digital transformation, Lifelong learning, Knowledge Management System (KMS), Mobile Learning, Farmer Education.