Machine Learning in Food Production: The Prospects and Applications

Abstract

When it comes to globally competitive industrial industries, the food processing and handling business stands head and shoul
ders above the others. Manufacturing and packaging food goods efficiently is mostly dependent on human labor. Because of 
human error, the food industry is both inefficient and unsafe, and it can’t keep up with consumer demand. Industrial automa
tion is the way to go for fixing these problems in the food industry. Foundational algorithms for all automation include those 
involving artificial intelligence (AI), machine learning (ML), and deep learning (DL). Using the AI-based solution may enhance 
operational efficiency while also facilitating better management of the food production and delivery operations. This post will 
go over some of the ways AI is helping the food industry save money and cut down on mistakes made by humans. Using dif
ferent fitting algorithms for sales projection and increasing production, AI and data science may improve the quality of food 
outlets, hotels, and online meal delivery networks. Artificial intelligence (AI) has the ability to revolutionize packaging, extend 
product shelf life, integrate menu items with AI algorithms, and improve food safety through the establishment of a more open 
system for managing the supply chain. Artificial intelligence (AI) has made smart farming, robotic farming, and drones crucial 
to the food industry’s future.