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Revolutionizing the Food Industry with AI and Machine Learning Applications

EasyChair Preprint no. 12773

9 pagesDate: March 27, 2024


The food industry plays a vital role in ensuring the sustenance and well-being of the global population. In recent years, the integration of artificial intelligence (AI) and machine learning (ML) technologies has emerged as a groundbreaking approach to revolutionize various aspects of the food industry. This paper explores the transformative potential of AI and ML applications in enhancing efficiency, sustainability, and consumer experience within the food industry.

Firstly, AI and ML algorithms are being employed to optimize the food supply chain, enabling better demand forecasting, inventory management, and logistics. These technologies analyze vast amounts of data, including historical sales, weather patterns, and customer preferences, to predict future demand accurately. Consequently, this facilitates streamlined production, reduced food waste, and improved inventory control, leading to cost savings for businesses and a more sustainable food system.

Keyphrases: AI, food industry, machine learning, product

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Abil Robert},
  title = {Revolutionizing the Food Industry with AI and Machine Learning Applications},
  howpublished = {EasyChair Preprint no. 12773},

  year = {EasyChair, 2024}}
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