Curriculum
Course: Smart4Food MicroLearning Course
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Curriculum

Smart4Food MicroLearning Course

INTRODUCTION

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Module 1: Digital Tools for Smart Farming

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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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Quiz

UNIT 5 – QUIZ

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  • Questions count: 5
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1.

What does AI do in agricultural decision-making?

A) It removes the need for farmer input entirely.
B) It analyses data to optimise nutrient levels and recommend actions.
C) It increases paperwork and delays decisions.
D) It only predicts market prices.
2.

How can AI assist with pest management?

A) By ignoring visual data and relying solely on weather reports.
B) By analysing satellite or drone imagery to detect signs of disease and pest infestations early.
C) By planting seeds automatically.
D) By replacing all labourers on the farm.
3.

Which of the following is a limitation of AI in farming?

A) It always works regardless of data quality.
B) It can replace local knowledge.
C) Its effectiveness depends on high-quality, localised input data and digital infrastructure.
D) It eliminates the need for sensors.
4.

Why is it important for farmers to maintain their own expertise when using AI tools?

A) AI always provides perfect answers.
B) AI cannot process data from sensors.
C) AI works best when combined with farmers’ local knowledge and observation.
D) AI and human knowledge are incompatible.
5.

What might be a barrier to smallholder farmers benefiting from AI technologies?

A) Too much access to precision agriculture.
B) Lack of access to the necessary digital infrastructure and tools.
C) Having high data quality.
D) Good internet connectivity.
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