Researchers build ML models to forecast food insecurity

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Researchers build ML models to forecast food insecurity
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Researchers build ML models to forecast food shortages

In 2019, the number of undernourished people was estimated to be 650 million, with 135 million in 55 countries and territories reported to be acutely"food-insecure." Food insecure is defined as lacking consistent access to enough food so you can lead an active, healthy life. Following the global COVID-19 pandemic, these numbers shot up. At least 280 million people were reported to be acutely food insecure in 2020, more than doubling the number from the previous year.

"This opens the door to food security near-real time nowcasting on a global scale, allowing decision-makers to make more timely and informed decisions on policies and programmes oriented towards the fight against hunger," the authors said.

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