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Home » Video: FAO partners with Egypt to stop food waste

Video: FAO partners with Egypt to stop food waste

CAIRO – 12 October 2019: With Around one-third of all food produced globally is either lost or wasted costing economies some $1 trillion per year, the United Nations World Food Programme (WFP) launched Stop The Waste awareness campaign early October, aiming to build a global movement and highlight simple solutions that we can all take to fight food waste.

Egypt is among the less-affected countries that record less than 5 percent of starvation and malnutrition, according to a

WFP hunger map

released in August.

The Food and Agriculture Organization (FAO) has partnered with the Egyptian government and cooperatives to find ways to limit food losses caused by production surpluses and inefficient practices.

The initiative aims to establish the principle of “waste no, want not,” as it cited about half of tomatoes and a third of grapes are lost through inefficient practices before they reach the consumer in Egypt.

The UN posted a video outlining some of the pragmatic solutions resulted from the project, which “greatly helped small-scale famers to reduce post-harvest losses in grapes through raising awareness of the proper technical practices and managing the harvest to reduce the risk of diseases.”

During the video, the farmers voiced their optimism after receiving trainings to manage their use of fertilizers instead of losing the extras in the soil.

A World Food Programme report said that still nearly 821 million people have suffered from starvation and malnutrition around the world during the period from 2016 to 2018.

According to the report, most the affected people are from Asia, especially China and India, as well as West Africa, including Mauritania, and west and central South America.

WFP’s Hunger Map depicts that more than 1 in 9 of the world population do not get enough to eat.

The WFP and Alibaba Group recently announced the launch of “Hunger Map LIVE,” a groundbreaking global hunger monitoring system that uses Artificial Intelligence (AI), machine learning and data analytics to predict and track the magnitude and severity of hunger in over 90 countries in close to real-time.
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