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Machine learning is used for improving food quality though. E.g. most wine today is made using machine learning. Here is a video showing how it works: https://

Machine learning is used for improving food quality though. E.g. most wine today is made using machine learning. Here is a video showing how it works: https://www.youtube.com/watch?v=aY4KPMYd4xw https://www.youtube.com/watch?v=aY4KPMYd4xw

YeahSureWhyNot 8y ago
from what I can see the video showed that machine separates ripe grapes in good color and shape from the rest of the mix. did you see the machine taste wine and go back to tune up its sorting algorithm?:)
- philipodonnell 8y ago
  Consistency is a big part of making high quality wine...
- kriro 8y ago
  I'm no domain expert but there's graphs for all sorts of things when it comes to food (usually used for quality control). You can probably just run computer vision over said graphs and get somewhere reasonable.
diogenescynic 8y ago
>E.g. most wine today is made using machine learning. Where are you pulling this number from?
- Alex3917 8y ago
  I actually haven't seen any statistics on this, but based on knowing how the industry works in the U.S. it seems like if it's not already the majority it's going to be the majority very soon. Basically there are thousands of vineyard owners and thousands of wineries, but most of the vineyard owners take their grapes to the same handful of places to process them in between when they're picked and when they're sent off to the wineries. And these machines can process enormous volume, and there is tons of risk around labor. And especially given that the majority of wine is made by the same handful of companies and sells for less than $10, I can't see any way that the majority of grapes aren't passing through these things at this point even if it's not really talked about.
woadwarrior01 8y ago
Color sorting of fruits and food grains is definitely a pre-machine learning problem. On the other hand, there are very problems which cannot be improved using machine learning. Incidentally, my father ran a startup building color sorting machines for coffee beans with analog electronics ~25 years ago.

YeahSureWhyNot 8y ago

from what I can see the video showed that machine separates ripe grapes in good color and shape from the rest of the mix. did you see the machine taste wine and go back to tune up its sorting algorithm?:)

philipodonnell 8y ago
Consistency is a big part of making high quality wine...
kriro 8y ago
I'm no domain expert but there's graphs for all sorts of things when it comes to food (usually used for quality control). You can probably just run computer vision over said graphs and get somewhere reasonable.

diogenescynic 8y ago

>E.g. most wine today is made using machine learning. Where are you pulling this number from?

Alex3917 8y ago
I actually haven't seen any statistics on this, but based on knowing how the industry works in the U.S. it seems like if it's not already the majority it's going to be the majority very soon. Basically there are thousands of vineyard owners and thousands of wineries, but most of the vineyard owners take their grapes to the same handful of places to process them in between when they're picked and when they're sent off to the wineries. And these machines can process enormous volume, and there is tons of risk around labor. And especially given that the majority of wine is made by the same handful of companies and sells for less than $10, I can't see any way that the majority of grapes aren't passing through these things at this point even if it's not really talked about.

woadwarrior01 8y ago

Color sorting of fruits and food grains is definitely a pre-machine learning problem. On the other hand, there are very problems which cannot be improved using machine learning. Incidentally, my father ran a startup building color sorting machines for coffee beans with analog electronics ~25 years ago.