* Adding content
* Update en.json
* Update README.md
* Update TRANSLATIONS.md
* Adding lesson tempolates
* Fixing code files with each others code in
* Update README.md
* Adding lesson 16
* Adding virtual camera
* Adding Wio Terminal camera capture
* Adding wio terminal code
* Adding SBC classification to lesson 16
* Adding challenge, review and assignment
* Adding images and using new Azure icons
* Update README.md
* Update iot-reference-architecture.png
* Adding structure for JulyOT links
* Removing icons
* Sketchnotes!
* Create lesson-1.png
* Starting on lesson 18
* Updated sketch
* Adding virtual distance sensor
* Adding Wio Terminal image classification
* Update README.md
* Adding structure for project 6 and wio terminal distance sensor
* Adding some of the smart timer stuff
* Updating sketchnotes
* Adding virtual device speech to text
* Adding chapter 21
* Language tweaks
* Lesson 22 stuff
* Update en.json
* Bumping seeed libraries
* Adding functions lab to lesson 22
* Almost done with LUIS
* Update README.md
* Reverting sunlight sensor change
Fixes#88
* Structure
* Adding speech to text lab for Pi
* Adding virtual device text to speech lab
* Finishing lesson 23
* Clarifying privacy
Fixes#99
* Update README.md
* Update hardware.md
* Update README.md
* Fixing some code samples that were wrong
* Adding more on translation
* Adding more on translator
* Update README.md
* Update README.md
* Adding public access to the container
* First part of retail object detection
* More on stock lesson
* Tweaks to maps lesson
* Update README.md
* Update pi-sensor.md
* IoT Edge install stuffs
* Notes on consumer groups and not running the event monitor at the same time
* Assignment for object detector
* Memory notes for speech to text
* Migrating LUIS to an HTTP trigger
* Adding Wio Terminal speech to text
* Changing smart timer to functions from hub
* Changing a param to body to avoid URL encoding
* Update README.md
* Tweaks before IoT Show
* Adding sketchnote links
* Adding object detection labs
* Adding more on object detection
* More on stock detection
* Finishing stock counting
* Tidying stuff
* Adding wio purchase link
* Updating Seeed logo
* Update pi-proximity.md
* Fix clean up link
Fixes#145
* Moving attributions to a separate file
* First draft of edge classifier
* Adding extras
* Moving folder
* Adding lesson 11 questions
* Image improvements
* More image tweaks
* Adding lesson 12 quiz
* Quiz for lesson 13
* Adding quiz for lesson 14
* Lesson 15 and 16 quiz
* Update README.md
* Adding sketchnotes
As the population grows, so does the demand on agriculture. The amount of land available doesn't change, but the climate does - giving even more challenges to farmers, especially the 2 billion subsistence farmers who rely on what they grow to be able to eat and feed their families. IoT can help farmers make smarter decisions on what to grow and when to harvest, increase yields, reduce the amount of manual labor, and detect and deal with pests.
In these 6 lessons you'll learn how to apply the Internet of Things to improve and automate farming.
💁 These lessons will use some cloud resources. If you don't complete all the lessons in this project, make sure you Clean up your project.