Artificial Intelligence: Implications for the Agri-Food Sector

Artificial intelligence (AI) involves the development of algorithms and computational models that enable machines to process and analyze large amounts of data, identify patterns and relationships, and make predictions or decisions based on that analysis. AI has become increasingly pervasive across a...

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Published in:Agronomy (Basel) 2023-05, Vol.13 (5), p.1397
Main Authors: Taneja, Akriti, Nair, Gayathri, Joshi, Manisha, Sharma, Somesh, Sharma, Surabhi, Jambrak, Anet Rezek, Roselló-Soto, Elena, Barba, Francisco J., Castagnini, Juan M., Leksawasdi, Noppol, Phimolsiripol, Yuthana
Format: Article
Language:English
Subjects:
Agribusiness
Agricultural production
Agriculture
Algorithms
Artificial intelligence
Computational linguistics
COVID-19
Decision analysis
Food chains
Food industry
Food processing
Food processing industry
Food quality
Food safety
Industrial safety
internet of things
Language processing
Logistics
machine learning
Mathematical models
Natural language interfaces
Optimization
Precision farming
Quality control
smart farming
Supply chains
sustainable management
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Summary:Artificial intelligence (AI) involves the development of algorithms and computational models that enable machines to process and analyze large amounts of data, identify patterns and relationships, and make predictions or decisions based on that analysis. AI has become increasingly pervasive across a wide range of industries and sectors, with healthcare, finance, transportation, manufacturing, retail, education, and agriculture are a few examples to mention. As AI technology continues to advance, it is expected to have an even greater impact on industries in the future. For instance, AI is being increasingly used in the agri-food sector to improve productivity, efficiency, and sustainability. It has the potential to revolutionize the agri-food sector in several ways, including but not limited to precision agriculture, crop monitoring, predictive analytics, supply chain optimization, food processing, quality control, personalized nutrition, and food safety. This review emphasizes how recent developments in AI technology have transformed the agri-food sector by improving efficiency, reducing waste, and enhancing food safety and quality, providing particular examples. Furthermore, the challenges, limitations, and future prospects of AI in the field of food and agriculture are summarized.
ISSN:2073-4395
2073-4395
DOI:10.3390/agronomy13051397