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Decidir qué plantar usando modelos de aprendizaje automático y los datos de las granjas y los gobiernos exitosos.

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TY for sharing this idea, it seems to join the crop monitoring idea http://imagine.orange.com/en/smart-agriculture/idea/show/1772, but machine learning brings it one step further!

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Software and data are the key enablers! Have a look at https://www.vitalfields.com/fr, http://gamaya.com/ and http://www.agrivi.com/ in this article http://tech.eu/features/5480/10-european-agritech-startups/

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This should interest you: http://www.slideshare.net/ErikAndrejko/deep-learninginagriculture

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My idea come before planting and it use a large data of success story in agriculture as I said in the description.
Thanks for the document , if there is any other useful links please keep me informed :)

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It comes before planting, but at a certain point, wouldn't it be wise to check that crop is growing well, and that the machine made the right assumptions?

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