Web3 Use Cases - Farm to Table
The Problem
How do you know the food you eat is from a local organic farm? Sure, the label on the bag of organic spinach says it is organic and came from a farm in the same state you live in. But is that label correct? Could the company that put that spinach in that bag be lying? The spinach could have come from an out-of-state farm, and the spinach is not organic. It was grown conventionally like most spinach, but someone along the way decided to just slap an organic label on it and charge the customer twice as much.
Ouch! The same goes with maybe the Alaskan salmon that you bought. Did it come from Alaska? Is it wild? Or is it farmed off the coast of the Atlantic?
Can you trust the labels on the food packaging? If the label says, it must be true. Or is it? Could there be a way to verify that your food is organic? Or, at the very least, you could see where the spinach originated from and what stops it made along the way before it got to your table? Similar to how you can see where a UPS package originated from and the multiple stops it took before it got to your door.
That is where Web3 and the blockchain can come in.
The Solution
First, we need a farm-to-table blockchain that farmers, distribution companies, and grocery stores would use to record the time and place where the food was picked, processed, packaged, transported, stored, and bought.
Imagine the customer buying organic spinach at the grocery store could scan a QR code or barcode using their phone and see where the spinach originated from, how it was grown, when it was picked and bagged, and when it arrived at the grocery store.
Sure the input data on the blockchain could be incorrect, but at least you are getting a level of transparency that you didn’t get before.
So how would this work?
Now the customer knows that this spinach came from an organic far
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