By how much can real-time, SMS-based AI agricultural advice increase
Chapter 1

Listening to the wild

Chapter 2

Outsmarting the elements

Chapter 3

Feeding the future

Chapter 4

Healing our cities

YOUR GOAL

Master of How smart machines are saving the real world

Ch 3 · Feeding the future
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007skaty Farmers identify diseased plants using mobile phone photos.

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The most advanced knowledge is only as valuable as its simplest application.

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Automating weather insurance payouts

007skaty Automated solar stations measure rainfall so algorithms can trigger instant mobile money payouts, helping farmers reinvest in their

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Stopping locust swarms early

007skaty A glowing tablet displays real-time satellite data in a sunlit East African field.

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Future Foodie Bot
BETA

007skaty Route the foodie bot to discover how AI uses real-time data to solve food waste.

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Fun Fact

AI crop doctors: Plantix's AI app can diagnose plant diseases with over 90% accuracy, compared to a typical human expert's accuracy of 60% to 70%.

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Glossary
precision agriculture (noun)
A farming management concept that uses digital technology to monitor and optimize agricultural production. Using this technology, GrowGuru helped a Texas farm increase its yield to 250 bushels per acre.

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Gossip

Which farming tech is coolest?

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Quiz

How many local languages, including English, does the Plantix app support to help diverse farming communities?

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Gossip

Should AI replace human agronomists?

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Quiz

How does ACRE Africa determine when to send insurance payouts to smallholder farmers?

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Quiz

What is the accuracy rate of the Plantix AI app in diagnosing crop pests and diseases?

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Quiz

How do farmers receive their automatic insurance payouts from ACRE Africa?

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Quiz

Approximately how many images of symptomatic crops make up the database used to train Plantix's AI model?

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Quiz

Why are SMS-based AI systems particularly useful for smallholder farmers in remote regions?

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Quiz

By how much can real-time, SMS-based AI agricultural advice increase crop yields for farmers in West Africa?

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Quiz

Which tech companies collaborated to build an early warning system for predicting desert locust outbreaks?

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