How data from different sources around the farmers should bring value. And how data can be made to flow in ways that are seamless, simple and private.
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Swine Smarts AgriVision Hack 2017 winner
1. SwineSmarts
Aaron Ault: Pitch
US farmer, Purdue, Open Ag Data Alliance
Sam Noel: OADA Hacker
Ag and Bio Eng. Purdue
Bram Visser: R hacker
Geneticist at Hendrix Genetics
Rob Knapen: R Daredevil
Wageningen Environmental Research
Simeon Nedkov: Logins, Cloud
Farmhack CIO
3. A, B, C: Open innovation! We must share data!
D: Yeah, lets do it! Give me ALL your data.
4. A, B, C: Open innovation! We must share data!
D: Yeah, lets do it! Give me ALL your data.
A: ...
B: But I cant just give it to you...
C: I cant give you ALL of it...
5. A, B, C: Open innovation! We must share data!
D: Yeah, lets do it! Give me ALL your data.
A: ...
B: But I cant just give it to you...
C: I cant give you ALL of it...OADA: Here, have some data under these conditions.
6. Data from Different Sources
Slaughter Data
Meat percentage, animal_id
Feed Station Data
Daily feed Kg consumed, date, animal_id
Weight Data:
0 days, 28 days, 55 days, 97 days, animal_id
9. The Story:Value Proposition of Data?
Slaughter stats per animal
=
better mating/culling recommendations
Has to come from the farmer.
Any volunteers?
12. Value Proposition:The Grower
"Sure, let's try it!"
...Don't have any..and I've got better things to do Monday...
"Great! Email me slaughter data every Monday?"
13. Value Proposition:The Grower
"Sure, let's try it!"
"Great! Email me slaughter data every Monday?"
...Don't have any..and I've got better things to do Monday...
Slaughterhouse doesn't provide data.
Grower doesn't want more work to do.
15. Value Propositions: Analytics Company
Alerts on feeding habit changes that affect slaughter meat percentage
Need slaughter data
Need feed intakes near real-time