Artificial Intelligence to Improve the Food and Agriculture Sector

Artificial Intelligence to Improve the Food and Agriculture Sector

The world population is expected to reach over 9 billion by 2050, which will require an increase in agricultural and food production by 70% to fit the need, a serious challenge for the agri-food industry. Such requirement, in a context of resources scarcity, climate change, COVID-19 pandemic, and ve...

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Bibliographic Details
Main Authors: Rayda Ben Ayed, Mohsen Hanana
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Journal of Food Quality
Online Access:http://dx.doi.org/10.1155/2021/5584754
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spelling doaj-0a966d4e11d14561b43c4c583f5332322021-05-10T00:26:35ZengHindawi-WileyJournal of Food Quality1745-45572021-01-01202110.1155/2021/5584754Artificial Intelligence to Improve the Food and Agriculture SectorRayda Ben Ayed0Mohsen Hanana1Laboratory of Molecular and Cellular Screening ProcessesLaboratory of Extremophile PlantsThe world population is expected to reach over 9 billion by 2050, which will require an increase in agricultural and food production by 70% to fit the need, a serious challenge for the agri-food industry. Such requirement, in a context of resources scarcity, climate change, COVID-19 pandemic, and very harsh socioeconomic conjecture, is difficult to fulfill without the intervention of computational tools and forecasting strategy. Hereby, we report the importance of artificial intelligence and machine learning as a predictive multidisciplinary approach integration to improve the food and agriculture sector, yet with some limitations that should be considered by stakeholders.http://dx.doi.org/10.1155/2021/5584754
collection DOAJ
language English
format Article
sources DOAJ
author Rayda Ben Ayed
Mohsen Hanana
spellingShingle Rayda Ben Ayed
Mohsen Hanana
Artificial Intelligence to Improve the Food and Agriculture Sector
Journal of Food Quality
author_facet Rayda Ben Ayed
Mohsen Hanana
author_sort Rayda Ben Ayed
title Artificial Intelligence to Improve the Food and Agriculture Sector
title_short Artificial Intelligence to Improve the Food and Agriculture Sector
title_full Artificial Intelligence to Improve the Food and Agriculture Sector
title_fullStr Artificial Intelligence to Improve the Food and Agriculture Sector
title_full_unstemmed Artificial Intelligence to Improve the Food and Agriculture Sector
title_sort artificial intelligence to improve the food and agriculture sector
publisher Hindawi-Wiley
series Journal of Food Quality
issn 1745-4557
publishDate 2021-01-01
description The world population is expected to reach over 9 billion by 2050, which will require an increase in agricultural and food production by 70% to fit the need, a serious challenge for the agri-food industry. Such requirement, in a context of resources scarcity, climate change, COVID-19 pandemic, and very harsh socioeconomic conjecture, is difficult to fulfill without the intervention of computational tools and forecasting strategy. Hereby, we report the importance of artificial intelligence and machine learning as a predictive multidisciplinary approach integration to improve the food and agriculture sector, yet with some limitations that should be considered by stakeholders.
url http://dx.doi.org/10.1155/2021/5584754
work_keys_str_mv AT raydabenayed artificialintelligencetoimprovethefoodandagriculturesector
AT mohsenhanana artificialintelligencetoimprovethefoodandagriculturesector
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