Curriculum
Smart4Food MicroLearning Course
INTRODUCTION
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Module 1: Digital Tools for Smart Farming
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MODULE 1 - INFORMATION
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MODULE 1 - INTRODUCTION
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UNIT 1 - INTRODUCTION TO DIGITAL AGRICULTURE AND SMART FARMING TOOLS
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UNIT 1 - QUIZ
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UNIT 1 - REFLECTION ACTIVITY
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UNIT 2 - DIGITAL RECORD-KEEPING FOR FARM MANAGEMENT
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UNIT 2 - REFLECTION ACTIVITY
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UNIT 2 - QUIZ
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UNIT 3 - REMOTE SENSING AND GEOSPATIAL ANALYSIS
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UNIT 3 - IMAGE ACTIVITY: DESCRIBING NDVI PATTERNS
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UNIT 3 - QUIZ
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UNIT 4 – IoT SENSORS AND SMART IRRIGATION
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UNIT 4 - SIMULATED DASHBOARD ACTIVITY
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UNIT 4 - QUIZ
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UNIT 5 – ARTIFICIAL INTELLIGENCE AND DATA ANALYTICS
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UNIT 5 - WEATHER FORECAST ACTIVITY
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UNIT 5 - QUALITATIVE COMPARISON ACTIVITY
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UNIT 5 - QUIZ
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UNIT 6 - DATA ETHICS, CYBERSECURITY AND SUSTAINABILITY
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UNIT 6 - READING ACTIVITY
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UNIT 6 - CASE SCENARIO ACTIVITY
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UNIT 6 - QUIZ
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Module 2: Sustainable and Regenerative Agriculture: Soil, Water and Biodiversity Management for Small-Scale Farms
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Module 3 - Smart Marketing and Communication for Small Producers
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Module 4 - Local Food Systems and Short Supply Chains
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Module 5 - Training and Education for Rural Development
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Module 6 - Policy Innovation and Project development in the Agrisector
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MODULE 1 – INTRODUCTION
The module “Digital Tools for Smart Farming”, is a learning module that introduces small-scale farmers to accessible and practical digital solutions that can improve farm planning, monitoring, decision-making and data management. It explains the value of smart farming through tools such as mobile applications, online platforms, digital records, remote sensing, NDVI analysis, IoT sensors, smart irrigation, artificial intelligence and basic data analytics, while keeping the focus on affordable technologies that farmers can realistically use in daily operations. The module is structured into six units covering digital agriculture and smart farming tools, digital record-keeping, remote sensing and geospatial analysis, IoT sensors and smart irrigation, AI-supported decision-making, and data ethics, cybersecurity and sustainability. Through quizzes, reflection activities, simulated dashboards, weather forecast exercises and practical examples, learners build both technical understanding and applied confidence, while also learning how to use digital tools responsibly, protect farm and personal data, comply with GDPR principles, and ensure that digitalisation supports more efficient, sustainable and climate-resilient farming.