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.
U2 - 10.1007/978-3-031-19711-6_11
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
A2 - Mor, Rahul
A2 - Belhadi, Amine
PB - Springer
ER -