Artificial Intelligence and Data Science in Food Processing Industry

Mohit Malik; Vijay Kumar Gahlawat; Rahul S. Mor; Shekhar Agnihotri; Anupama Panghal; Kumar Rahul; Neela Emanuel

doi:10.1007/978-3-031-19711-6_11

Artificial Intelligence and Data Science in Food Processing Industry

Mohit Malik
, Vijay Kumar Gahlawat
, Rahul S. Mor
, Shekhar Agnihotri
, Anupama Panghal
, Kumar Rahul
, Neela Emanuel

Research output: Contribution to Book/Report › Chapter › peer-review

Abstract

Digital transformations and industrial automation help improve productivity and operational efficiency at a mass scale without compromising quality and consistency in the food processing industry. This chapter discusses how artificial intelligence (AI) can effectively enhance food hygiene, safety and quality, efficient production and supply chain by efficient decision-making, food waste management, and smart sorting and packaging solution through economic resource utilization by reducing errors and saving capital investments. The convergence of data science and AI can further improve the delivery of items at food outlets, boosting on-demand production and predicting sales performance through algorithms. It can drastically improve shelf life, packaging, food safety with a more translucent supply chain, and quality control by identifying customer needs. Automation in the food industry will monitor each processing stage and thus improve its scale-up, inventory predictions, and supply chain stream. This helps in cost reduction, improved accuracy, and time-saving in a large-scale operation.

Original language	English
Title of host publication	Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance
Editors	Sachin Kamble, Rahul Mor, Amine Belhadi
Publisher	Springer
Pages	231–244
Number of pages	14
ISBN (Electronic)	9783031197116
ISBN (Print)	9783031197109, 9783031197130, 8303119711611
DOIs	https://doi.org/10.1007/978-3-031-19711-6_11
Publication status	Published - 4 Feb 2023
Externally published	Yes

Publication series

Name	EAI/Springer Innovations in Communication and Computing
Publisher	Springer
ISSN (Print)	2522-8595
ISSN (Electronic)	2522-8609

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure
SDG 12 Responsible Consumption and Production

Access to Document

10.1007/978-3-031-19711-6_11

Malik_etal_2024_Artificial_Intelligence_and_Data_Science_in_Food_Processing_IndustryAccepted author manuscript, 390 KBLicence: Unspecified

Cite this

Malik, M., Gahlawat, V. K., Mor, R. S., Agnihotri, S., Panghal, A., Rahul, K., & Emanuel, N. (2023). Artificial Intelligence and Data Science in Food Processing Industry. In S. Kamble, R. Mor, & A. Belhadi (Eds.), Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance (pp. 231–244). (EAI/Springer Innovations in Communication and Computing). Springer. https://doi.org/10.1007/978-3-031-19711-6_11

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abstract = "Digital transformations and industrial automation help improve productivity and operational efficiency at a mass scale without compromising quality and consistency in the food processing industry. This chapter discusses how artificial intelligence (AI) can effectively enhance food hygiene, safety and quality, efficient production and supply chain by efficient decision-making, food waste management, and smart sorting and packaging solution through economic resource utilization by reducing errors and saving capital investments. The convergence of data science and AI can further improve the delivery of items at food outlets, boosting on-demand production and predicting sales performance through algorithms. It can drastically improve shelf life, packaging, food safety with a more translucent supply chain, and quality control by identifying customer needs. Automation in the food industry will monitor each processing stage and thus improve its scale-up, inventory predictions, and supply chain stream. This helps in cost reduction, improved accuracy, and time-saving in a large-scale operation.",

author = "Mohit Malik and Gahlawat, \{Vijay Kumar\} and Mor, \{Rahul S.\} and Shekhar Agnihotri and Anupama Panghal and Kumar Rahul and Neela Emanuel",

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Malik, M, Gahlawat, VK, Mor, RS, Agnihotri, S, Panghal, A, Rahul, K & Emanuel, N 2023, Artificial Intelligence and Data Science in Food Processing Industry. in S Kamble, R Mor & A Belhadi (eds), Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance. EAI/Springer Innovations in Communication and Computing, Springer, pp. 231–244. https://doi.org/10.1007/978-3-031-19711-6_11

Artificial Intelligence and Data Science in Food Processing Industry. / Malik, Mohit; Gahlawat, Vijay Kumar; Mor, Rahul S. et al.
Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance. ed. / Sachin Kamble; Rahul Mor; Amine Belhadi. Springer, 2023. p. 231–244 (EAI/Springer Innovations in Communication and Computing).

Research output: Contribution to Book/Report › Chapter › peer-review

TY - CHAP

T1 - Artificial Intelligence and Data Science in Food Processing Industry

AU - Malik, Mohit

AU - Gahlawat, Vijay Kumar

AU - Mor, Rahul S.

AU - Agnihotri, Shekhar

AU - Panghal, Anupama

AU - Rahul, Kumar

AU - Emanuel, Neela

PY - 2023/2/4

Y1 - 2023/2/4

N2 - Digital transformations and industrial automation help improve productivity and operational efficiency at a mass scale without compromising quality and consistency in the food processing industry. This chapter discusses how artificial intelligence (AI) can effectively enhance food hygiene, safety and quality, efficient production and supply chain by efficient decision-making, food waste management, and smart sorting and packaging solution through economic resource utilization by reducing errors and saving capital investments. The convergence of data science and AI can further improve the delivery of items at food outlets, boosting on-demand production and predicting sales performance through algorithms. It can drastically improve shelf life, packaging, food safety with a more translucent supply chain, and quality control by identifying customer needs. Automation in the food industry will monitor each processing stage and thus improve its scale-up, inventory predictions, and supply chain stream. This helps in cost reduction, improved accuracy, and time-saving in a large-scale operation.

AB - Digital transformations and industrial automation help improve productivity and operational efficiency at a mass scale without compromising quality and consistency in the food processing industry. This chapter discusses how artificial intelligence (AI) can effectively enhance food hygiene, safety and quality, efficient production and supply chain by efficient decision-making, food waste management, and smart sorting and packaging solution through economic resource utilization by reducing errors and saving capital investments. The convergence of data science and AI can further improve the delivery of items at food outlets, boosting on-demand production and predicting sales performance through algorithms. It can drastically improve shelf life, packaging, food safety with a more translucent supply chain, and quality control by identifying customer needs. Automation in the food industry will monitor each processing stage and thus improve its scale-up, inventory predictions, and supply chain stream. This helps in cost reduction, improved accuracy, and time-saving in a large-scale operation.

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DO - 10.1007/978-3-031-19711-6_11

M3 - Chapter

SN - 9783031197109

SN - 9783031197130

SN - 8303119711611

T3 - EAI/Springer Innovations in Communication and Computing

SP - 231

EP - 244

BT - Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance

A2 - Kamble, Sachin

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Malik M, Gahlawat VK, Mor RS, Agnihotri S, Panghal A, Rahul K et al. Artificial Intelligence and Data Science in Food Processing Industry. In Kamble S, Mor R, Belhadi A, editors, Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance. Springer. 2023. p. 231–244. (EAI/Springer Innovations in Communication and Computing). doi: 10.1007/978-3-031-19711-6_11

Artificial Intelligence and Data Science in Food Processing Industry

Abstract

Publication series

UN SDGs

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