It is anticipated that large data would be used for active training by artificial intelligence (AI) and other emerging technologies, such as computer vision, to build operational real-time smart devices and predictive models. The phrase "computer vision and AI-driven food industry" refers to the development of using learning and vision techniques in the food business. This review sheds light on potential new computer vision and artificial intelligence (AI) methods that might help farmers with agricultural and food processing activities. This study has a global viewpoint and takes into account a variety of sustainable use cases and scenarios, including deep learning, machine learning, and machine vision. The article talks about the growing interest in using computer vision and artificial intelligence in the agricultural technology sector, which might pave the way for future sustainable food production to feed the world. This research also has significant implications for important global investments and regulations, as well as problems and solutions for integrating technology into real-time farming. The research concludes by looking at how Fourth Industrial Revolution (4.0 IR) technology, such deep learning and computer vision robots, may help to guarantee the long-term stability of the food supply