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South Korean farmers grow more perilla leaf with machine learning

Smart farm solution built on Amazon Web Services helps small-scale farmers increase production of one of the country's most popular cooking ingredients. Every day, for years, SangYoung Park, a farmer in Geumsan County, South Korea, spent a substantial part of his day going back and forth to his farm's five greenhouses to open and close the windows.

If you think that sounds time-consuming and repetitive, you're right-it was. But it was the only way Park knew how to protect his crop from daily variations in temperature and humidity.

Today, Park is no longer making educated guesses and unnecessary trips to open the windows. In fact, he doesn't need to do it himself at all. Instead, he receives a recommendation from an app on his smartphone, and then, he uses the app to optimize the ventilation automatically-all thanks to a smart greenhouse system built on Amazon Web Services (AWS).

The tasty crop in question is perilla leaf, a much-loved staple of South Korean cuisine. Anyone who's tried traditional dishes, such as Korean barbecue, has almost certainly encountered it. The system that adjusts the ventilation in Park's greenhouses is a technological solution called "G-Smart"-developed as part of a pilot program by Digilog, an agricultural technology startup, and the local authorities in Geumsan County, with support from AWS.

Read the complete article at www.marketscreener.com.  

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