Skip to content

Latest commit

 

History

History

3-transport

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
 
 
 
 
 
 

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.

Topics

  1. Location tracking
  2. Store location data
  3. Visualize location data
  4. Geofences

Credits

All the lessons were written with ♥️ by Jen Looper and Jim Bennett