The European Qualifications Framework (EQF) was conceived in the early 2000s as a response to the need for greater transparency and comparability of qualifications across Europe. The EQF prioritizes the recognition of diverse learning experiences and supports adaptability to evolving educational and labour market needs, making it a cornerstone for the modernization of European education and training. The Precision farming specialist profile developed within the Interreg AGRI-DIGITAL GROWTH project has been designed according EQF and NQF (national qualification framework) principles allowing its recognition across Central Europe by 11 partners involved in the project representing 9 Central Europe regions and 7 countries, in which EQF has been integrated into a National Qualifications Framework. The profile has been prepared for 2 specialisations: farm owner/manager and for the manufacturer:
- Precision farming specialist profiles FARM – leaflet
- Precision farming specialist profile MANUFACTURER – leaflet
Precision farming specialist – Farmer
– the new competences required by farmers to tackle digital transformation
Skills
- Analysis of the regulatory framework of the target market
- Analysis of the supply chain and its requirements
- Examination of the main IT and statistical tools essential for managing
- organizational structures and implementing innovative management models (precision farming, DSS – Decision Support System).
- Creation of a service for knowledge transfer
- Design of studies and research
- Development of a management system for precision farming
- Creation of a supply chain plan for precision farming
- Management of technical and operational documentation for equipment, machinery, and raw materials
- Implementation of a corporate Big Data system and indicators for data analysis
Competencies
- Apply procedures and techniques to gather contextual information and legislation
- Assess contextual factors influencing the demand for precision farming
- Apply techniques for analysing demand and market trends
- Basic knowledge of chemistry, physics, and biology
- Basic knowledge of botany and sector-specific features, etc.
- Familiarity with machinery, equipment, professional profiles, and technologies in the sector
- Understanding of business and work organization within agricultural enterprises
- Techniques for planning production processes
- Basic knowledge of cost accounting
- Basic computer literacy
Results
- Development and automation of machinery, equipment, and services for the agricultural sector, adequately prepared according to project technical documentation and prescribed procedural standards
Indicators
- Interpretation of plant diagrams and layouts
- Selection of IoT components
- Knowledge of communication protocols (BUS)
- Verification of the functionality of automated devices and equipment
- Setting up the work plan for product automation
Precision farming specialist – Manufacturer – the new competences required by manufacturing industires to tackle digital transformation
Skills
- Development and automation of materials, equipment, and tools for assembling mechanical and electronic systems
- Knowledge
- Elements of design and development for the automation of mechanical parts: components and assemblies, signs, symbols, scales, and representation methods
- Main tools, equipment, and digital work instruments, along with their methods of use
Competencies
- Develop project diagrams and layouts, bill of materials, and technical documentation for automated systems with IoT, Bus, GPS, and electro-electronic control and power components for machinery and/or plants
- Identify technologies, communication protocols, equipment, timelines, and work sequences based on the system’s characteristics and the type of automation work to be performed
Results
- Development and automation of machinery, equipment, and services for the agricultural sector, properly prepared according to project technical documentation and prescribed procedural standards
Indicators
- Reading of plant diagrams and layouts
- Selection of IoT components
- Knowledge of communication protocols (BUS)
- Verification of the functionality of automated devices and equipment
- Setting up the work plan for product automation
