Machine learning (ML) and Artificial Intelligence (AI) plays a major role in the food industry in terms of Food quality and food safety assessment. By integrating advanced algorithms with the data analysis techniques, AL and ML techniques involves in the rapid, real time, accurate and non-destructive analysis of the food products in food supply chain. This technique enables the machine to perform tasks more accurately. ML which is subset of Artificial Intelligence involves in the training of the algorithms, learn the features, identify patterns, anomalies from the datasets, and make the perfect decisions or predictions for the assigned tasks. More comprehensive and accurate results can be achieved by combining AL and ML techniques with the conventional quality assessments techniques like spectroscopy and imaging. Internet of Things IoT devices, sensors can be used to monitor and collect data from the food production, processing and storage checkpoints which can be intervened with AI techniques for the real time monitoring of the food supply chain and easy identification of potential hazards from farm to plate. This chapter delves in depth about the introduction and concepts of AI and ML, the integration of IoT and sensors with the AL and ML techniques for the analysis of food quality, real time quality analysis of the food products, future trends of Artificial intelligence and machine learning techniques in food safety applications.