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IoT-For-Beginners/3-transport/README.md

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# Transport from farm to factory - using IoT to track food deliveries
Many farmers grow food to sell - either they are commercial farmers who sell everything they grow, or they are subsistence farmers who sell their excess produce to buy necessities. Somehow the food has to get from the farm to the consumer, and this usually relies on bulk transport from farms, to hubs or processing plants, then to stores. For example, a tomato farmer will harvest tomatoes, pack them into boxes, load the boxes into a truck then deliver to a processing plant. The tomatoes will then be sorted, and from there delivered to the consumers in the form of processed food, retail sales, or consumed at restaurants.
IoT can help with this supply chain by tracking the food in transit - ensuring drivers are going where they should, monitoring vehicle locations, and getting alerts when vehicles arrive so that food can be unloaded, and be ready for processing as soon as possible.
> 🎓 A *supply chain* is the sequence of activities to make and deliver something. For example, in tomato farming it covers seed, soil, fertilizer and water supply, growing tomatoes, delivering tomatoes to a central hub, transporting them to a supermarket's local hub, transporting to the individual supermarket, being put out on display, then sold to a consumer and taken home to eat. Each step is like the links in a chain.
> 🎓 The transportation part of the supply chain is know as *logistics*.
In these 4 lessons, you'll learn how to apply the Internet of Things to improve the supply chain by monitoring food as it is loaded onto a (virtual) truck, which is tracked as it moves to it's destination. You will learn about GPS tracking, how to store and visualize GPS data, and how to be alerted when a truck arrives at its destination.
> 💁 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](../clean-up.md).
## Topics
1. [Location tracking](lessons/1-location-tracking/README.md)
1. [Store location data](lessons/2-store-location-data/README.md)
1. [Visualize location data](lessons/3-visualize-location-data/README.md)
1. [Geofences](lessons/4-geofences/README.md)
## Credits
Lesson 19 (#115) * 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
4 years ago
All the lessons were written with ♥️ by [Jen Looper](https://github.com/jlooper) and [Jim Bennett](https://GitHub.com/JimBobBennett)