Artificial Intelligence to Improve the Food and Agriculture Sector
Rayda Ben AyedLaboratory of Molecular and Cellular Screening Processes, Centre of Biotechnology of Sfax, P. B. 1177, Sfax 3018, TunisiaMohsen HananaLaboratory of Extremophile Plants, Biotechnology Center of Borj-Cédria, B. P. 901, Hammam Lif 2050, Tunisia
2021en
ABI
Abstract
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.
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