Impact of Artificial Intelligence and Machine Learning in the Food Industry
Archana Sharma, Kajol Mittal, Sunil Kumar, Utkarsh Sharma, Prashant Upadhyay
- 发表年份
- 2022
- 引用次数
- 4
摘要
In recent years, the food sector or industry has escalated to prominence as the most important industry to receive widespread attention. It encompasses various industrial activities related to food production, distribution, processing, preparation, preservation, transportation, and packaging. Machine learning (ML) is a subpart of artificial intelligence (AI), and it is widely used in the food sector for industrial automation and predictive modeling with the world's growing demand and population. AI assists in improving package shelf life, menu selection, food cleanliness, and safety. Because of AI and machine learning, smart agriculture, drones, and robotics in the area of the food sector are becoming the need of the modern era. This chapter discusses how AI and machine learning have the potential to be used in the food business to save money while simultaneously increasing resource efficiency. It highlights the food industry's achievements and challenges with specific attention to the role of machine learning and artificial intelligence.
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