In details, the UAE predicts the quantities of future food and feed imports through "artificial intelligence"

The Abu Dhabi Agriculture and Food Safety Authority announced that it was able to develop a model to predict agricultural and animal food imports and feed, based on

Artificial intelligence and machine learning techniques, in cooperation with the Abu Dhabi Digital Authority and the Emirates Center for Innovation in Communications and Information Technology,

She explained that the new model aims to build a future vision for the direction and value of food imports into the UAE, and to analyze the most strategic foodstuffs

Import sources, sources and quantities, in order to identify potential diversification opportunities for import sources, and reduce waste.

The authority explained that the model was built by developing an interactive graphic dashboard by analyzing a series of historical data for quantities and values

Imports and re-exports of animal and agricultural food products and feed, so that the panel shows interactive information about the countries that are imported

Food and feed from it and the quantities and values ​​that are imported, with the aim of creating a machine learning model to predict the amount of imports of plant foods

and animal feed and animal feed to the state, determining the volume and cost of import and the countries from which the import is made. The model also analyzes the waste processes from

food in the country, thus identifying potential opportunities for re-export.

Aisha Al-Naili Al Shamsi, Director of Statistics and Analysis Department at the Abu Dhabi Agriculture and Food Safety Authority, said: "Developing a model to predict food imports

Understanding the trends and patterns of food and feed import helps to develop a clear picture of the levels of food imports in the future, and enable the development of

Policies, regulations, and plans that ensure the continuity of the country's food supply, in addition to assisting in the development of accurate response plans in times of

Disasters and crises, or when any disturbances related to the supply of food occur, by knowing the quantities currently imported in the country.

She explained that the development of the model was based on the country's food imports information during the period from 2015 to 2020, as it was relied on import data.

Animal food for products such as eggs, frozen chicken meat and fresh chicken meat, as well as agricultural products such as cucumbers, tomatoes and melons

and feed in order to understand the level of dependence in meeting the needs of consumers for each product and the country from which it is received, and thus determine the nature of potential risks in relation to

Concerning supply, prices, and opportunities to find alternatives in times of crises and emergencies, or in the event of a lack of supply or an increase in prices, noting that the form provides information

Detailed information on waste rates for each product within the supply chain, which helps to strengthen accounting mechanisms for food waste, and create opportunities for recycling

export.

Al Shamsi pointed out that the model allows the possibility of adding new updates to keep pace with future requirements, noting that future updates and additions

The plans on the models that have been developed include adding new food products to analyze their data in the same mechanism as analyzing the data of products that are currently available,

In addition to setting additional criteria for improving the performance of the import forecasting model, such as seasonal changes in product data, a production forecasting model will also be developed.

Local, to determine the quantity and value of the expected production of local food products, based on artificial intelligence and machine learning techniques.

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