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AI-3: Sustainable Farming

8-10 yrs old

11-13 yrs old

14-18 yrs old

Climate & Environment

Computer Science

Introduction to AI concepts, Lesson 3

16
avatar Submitted By: Minecraft Education

November 6, 2020

Skills

  • Creativity
  • Critical Thinking

Learning Objectives

  • In this lesson the students will learn:
  • How to gather and prepare satellite data for a dataset.
  • The concept and application of predive analysis.
  • The use of machine learning algorithms to improve crop yields and soil efficiency in developing countries.

Guiding Ideas

Theme:

Tell the students: they have been sent to a developing country to help the local population farm in a more effective way, to make sure there is not a shortage of food. This is done by collecting satellite data from a weather station and then using the data in a semi-supervised machine learning AI that utilizes predictive analysis to find areas with the right weather and terrain conditions. This is going to help optimise farming and create a more sustainable food source for the local population.

A partner called SunCulture is using these kinds of AIs to help farmers in developing countries make the most use of their land and maximize their crop yield. For more information on their activities:

https://www.microsoft.com/en-us/ai/ai-for-earth-SunCulture

 

Student Activities

ACTIVITIES: 30 minutes

Activity 1: Withering crops.

Activity 2: Out of this world.

Activity 3: Predictive analysis.

Activity 4: Green thumb.

Performance Expectations

LESSON CONCLUSION: 5 minutes

Ask the students about the skills that they have learned during the lesson, to reinforce the concepts.

1. Why is land optimization an important thing when farming?

Answer: By optimizing how we segregate land when farming we can increase yields.

 

2. How can AI help developing countries increase their food production?

Answer: AI can help with the use of predictive analysis to find the most optimal locations for farming.

 

 

Skills

  • Creativity
  • Critical Thinking