In all seriousness this is the kind of thing I'm talking about when I say "the tech industry is trying to big data-ify ag & they don't even know what the relevant data are"https://twitter.com/Casein_Micelles/status/1156183180132663296 …
This is sort of the basis of machine learning: We don't know what input matters so just give me everything, crunch it for a while, and hopefully something good comes out. It works pretty well for software --sometimes!--, not sure how well for other industries...
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Huh. Alot of ag research knows inputs and external factors. Am I missing something?
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