Leveraging Artificial Intelligence for Sustainable Food Systems: An Analytical Study on Production Efficiency and Quality Control in the Food Industry

Food producers need technological solutions because of rising international diets requirements as well as environmental responsibility standards. Artificial Intelligence technology creates sustainable food systems by enhancing production performance and improving quality management systems according to this research study. A structured research instrument collected data from 400 stakeholders who belong to both agriculture-food manufacturing and policy-technology work sectors. Descriptive statistics combined with one-sample and paired t-tests and Multi-Criteria Decision-Making (MCDM) through Weighted Sum Model (WSM) allowed evaluation of AI impacts on production efficiency and quality assurance methods and environmental sustainability elements. The use of AI presents significant value by minimizing production waste while utilizing resources to the maximum and by monitoring operations in real time along with improving food quality through traceable detection systems. At least 70% of research participants confirmed that artificial intelligence technology represents a strong instrument for environmental betterment in the context of water conservation and minimized agricultural inputs. The evaluation rate of 4.23 out of 5 points proves that carefully implemented AI technology brings about extensive environmental benefits. The research provides adaptable guidance to both leaders in food industries and technology developers together with policymakers who need to link AI implementations to global sustainability targets for creating robust smart food systems.