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AI Could Predict Droughts Before They Strike | Roanoke News
Description
Over 100 million people across the Midwest and Southeast are battling drought, threatening crops and livestock. A Virginia Tech researcher proposes AI as a proactive solution—but only if fed enough high-quality data. AI excels at spotting early drought patterns from vast datasets, especially for fast-moving “flash droughts” that can shift in weeks. While AI learns from past events, it struggles with the unknown, which is why agencies now combine AI with traditional physics models. The real bottleneck? A massive data gap—lacking sensors and real-time soil and weather info—limits AI’s accuracy globally and domestically, making more data collection critical to saving agriculture and water supplies.
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