ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING APPLICATION IN FOOD PROCESSING AND ITS POTENTIAL IN INDUSTRY 4.0

Food is essential for human survival. Some of the most crucial factors to think about are minimising food waste, optimising the supply chain, and enhancing food logistics, delivery, and safety. The achievement of these goals is greatly aided by the application of AI and ML. Proliferation of ever-more-powerful and pervasive computer networks has enabled modern logistical and industrial systems. Within these networks, there is a continual influx of fresh data from many sources, generated by sensors, equipment, systems, intelligent devices, and humans. Thanks to computers' ever-improving capabilities, we can now analyse Big Data more quickly, thoroughly, and in-depth than ever before. These developments have rejuvenated and ushered in a new era called Industry 4.0 or the Smart Factory, which has increased the importance of artificial information technology (AI). Machine learning and artificial intelligence are discussed in this article within the context of the food industry and business. Important uses of this technique include supply chain optimisation, crop selection, logistics, food distribution, and processing plant predicting maintenance.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-12
DOI
https://doi.org/10.5281/zenodo.13306484
Citations
1
Primary Topic
Food Waste Reduction and Sustainability
Type
article
Field-Weighted Citation Impact
0.35
Controls
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article

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING APPLICATION IN FOOD PROCESSING AND ITS POTENTIAL IN INDUSTRY 4.0

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Food Waste Reduction and Sustainability
0.35
article

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING APPLICATION IN FOOD PROCESSING AND ITS POTENTIAL IN INDUSTRY 4.0

article en
1 citations

Abstract

Food is essential for human survival. Some of the most crucial factors to think about are minimising food waste, optimising the supply chain, and enhancing food logistics, delivery, and safety. The achievement of these goals is greatly aided by the application of AI and ML. Proliferation of ever-more-powerful and pervasive computer networks has enabled modern logistical and industrial systems. Within these networks, there is a continual influx of fresh data from many sources, generated by sensors, equipment, systems, intelligent devices, and humans. Thanks to computers' ever-improving capabilities, we can now analyse Big Data more quickly, thoroughly, and in-depth than ever before. These developments have rejuvenated and ushered in a new era called Industry 4.0 or the Smart Factory, which has increased the importance of artificial information technology (AI). Machine learning and artificial intelligence are discussed in this article within the context of the food industry and business. Important uses of this technique include supply chain optimisation, crop selection, logistics, food distribution, and processing plant predicting maintenance.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 31%
Food Waste Reduction and Sustainability
0.35
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ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING APPLICATION IN FOOD PROCESSING AND ITS POTENTIAL IN INDUSTRY 4.0 · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS