Agriculture 4.0: Automation with Big Data

Overview

In this course, students will explore IoT robotics in application to agriculture when creating their own smart plant. They will utilise their computational thinking when programming to find the perfect environment to help plants grow by themselves. Students will nurture their problem-solving skills and growth mindset in a practical immersive learning environment which is essential for their personal development and success. FlipRobot Agriculture 2.0 – Autonomous with Big Data course is offered to students to learn at home through online live delivery with our certified coaches.

FREE DELIVERY

Certificate on Completion

Own the robotic hardware kit for continuous learning

Qualify to enter the international OneWorld Robotics Competition

Background on Agriculture 4.0: Automation with Big Data

Background

Source: EY and Microsoft

Course_Outline

Module 1

Future in Farming Challenge Briefing
Introduction to the Internet of Things (IoT)
Introduction to robotics in agriculture
Assembly of Smart Plant

Module 2

Introduction to Moisture Sensor
Coding multiple sensors in Blockly
Future in Farming Challenge 1: A Place In The Sun

Module 3

Introduction to serial data
Computational Thinking in deciphering serial data
Coding using real-time information
Future in Farming Challenge 2: The right climate

Module 4

Future In Farming Final Practical Challenge
Future In Farming Final Presentation Challenge

Course Outline

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Construct a solution design of an autonomous vehicle using Internet of Things (IoT)
Assemble agricultural robotics and adjust through mechanical engineering of different hardware features
Design robotic codes using big data to control robotics movements using multiple coding platforms
Apply computational and design thinking into practice
Critically evaluate the current agriculture technology to propose a viable design solution to an agricultural automation related problem
Acquire knowledge to program and calibrate motors to control the robot in response to real world data
Master their skills using FlipCode to control robotics movements to complete industrial agriculture
Embody the growth mindset principle into practice

Learning Outcomes

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Learning_Outcome

Age-group suitability: Years 7 to 9
Prerequisite requirements: None
Class format: Live online teaching via Zoom. Robotic assembly and coding by students at home. Interaction between teacher and students live online

System requirements:
- Windows 10 version 1809 and above (64 bits)
- If using ChromeOS, users will require to install the FlipRobot Chrome extension
- Support macOS but not iOS
- An Internet connection and an internet browser
- Zoom video conference application
- A computer with a camera, mic, speaker (or headphones)