Artificial intelligence as a formula to combat food waste

With the help of AI you can combat food waste, one of those tasks that are not usually given much attention.

Among the many pending tasks to preserve the environment, one of them is to combat food waste. The philosophy championed by those who have reflected on this issue is inspired by the classic three-ruler rule in recycling.

With the ‘reduce, reuse and recycle’ scheme you can also combat food waste. First of all it is about reducing consumption. We eat too much, we order too much food in the restaurants, which we have left over, and we throw food at home, because they are put in poor condition.

Reuse, in the case of food, goes through a redistribution of food. There are initiatives such as the NotFoodWaste application (which tries to avoid wasting food in supermarkets) or the Too Good To Go app (try restaurants to offer leftover food at a lower price) that navigate in that direction.

Finally, recycling in this case would imply the use of food scraps to generate electricity. There are several projects aimed at carrying out this mission. The ultimate goal is to distribute food and reduce the impact on the environment.

In some of these tasks artificial intelligence can complement. In India some companies use machine learning algorithms to estimate demand more accurately. Thus it is possible to reduce the amount of food thrown from supermarkets. The idea is that it is easier to calculate the stock.

An American company, Agshift, has used AI for another task. It’s about detecting the quality of food. Through deep learning systems, developers are able to analyze defects in a meat sample or other type of products. It is a way to combat food waste while it can be refined when disposing of certain products, only when they are no longer in good condition.

combatir el desperdicio de alimentos

Another form of artificial intelligence to fight in this field is the one that applies to the identification of the most discarded foods. When food is thrown in restaurants, it can be registered in a database, through the artificial vision of cameras. This way we will learn what types of food are expendable.

The goal for 2030

The FAO (Food and Agriculture Organization of the United Nations) has set itself the objective by 2030 to reduce food waste by half. Keep in mind that an estimated 1.3 billion tons of food are spoiled annually. While food shortages remain a global and pressing problem.

Hence, it is necessary to squeeze the tools at our disposal to achieve this goal by 2030. The application of artificial intelligence algorithms to combat food waste could be a welcome aid within the food sector.

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