Technology at the Table: Incorporating AI into Contemporary Food Industry Operations

Abstract

Abstract The discipline of computer science known as artificial intelligence (AI) mimics human thought processes, learning capacities, and knowledge stores. There are many different algorithms available in AI, including fuzzy logic (FL), artificial neural networks (ANNs), etc., which offers myriad opportunities to solve approaching problems in food and agricultural sectors, including global food demand. AI has been used in supply chain management, manufacturing improvement, food quality enhancement, and in maintenance of industrial hygiene. By employing a computerized system, the industry can assess and then deliver the product in the most favourable conditions at every stage, for example, by keeping an eye on all seed selection, crop monitoring, agricultural operations, such as watering, and temperature monitoring, new product development, and maintaining food industry safety standards which could enhance the quality of the products. Nevertheless, there are obstacles in the way of AI’s implementation in the food industry like data privacy issues, job displacement through automation, flaws in algorithms used in making decisions and difficulties in compliance with laws and regulations. The ethical implications of food safety and sustainability make the application of AI much more challenging. The food industry’s future depends on a holistic approach that takes advantage of AI’s potential while maintaining ethical and environmentally friendly operations. Information © The Author 2024