Challenge

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Building an AI-powered Agricultural Assistant

World hunger is on the rise, affecting millions of Americans daily. AI could model and identify patterns, similarities and differences in agriculture between developing and developed communities. Such information will be used for effective decision-making at multiple levels across the agricultural value chain and to develop solutions for optimized agricultural practices of small scale farming.
2M
People Impacted
$ 288B
Potential Funding
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Nature and Context

By observing patterns of production and distribution from farming in America, future problems could be avoided helping to reduce waste and promote food security, improved nutrition and sustainable agriculture.

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