Artificial Intelligence to Improve the Food and Agriculture Sector
Keyword(s):
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.
2019 ◽
Vol 15
(5)
◽
pp. 422-429
◽
Keyword(s):
2021 ◽
pp. 62-70
Keyword(s):
2018 ◽
Vol 8
(6)
◽
pp. 26
◽
Keyword(s):
Keyword(s):
Keyword(s):
2013 ◽
Vol 17
(10)
◽
pp. 3841-3852
◽
Keyword(s):
2009 ◽
Vol 3
(1)
◽
pp. 123-126
◽
2018 ◽
Vol 19
◽
pp. 120-130