AI Integration in FI and VSC Technologies

The authors looked at several types of AI, how it works with the food value and supply chain, other AI-using technologies, adoption barriers for AI in different contexts, and solutions for overcoming these barriers. This is because it illustrates how artificial intelligence's wide range of applications creates opportunities for vertical integration across the food supply and value chain. It affects the many stages of the chain in developing technologies. The methods by which artificial intelligence interacts with other technologies are demonstrated by a systematic literature analysis. These technologies include big data mining, machine learning, the Internet of services, agribots, industrial robots, sensors, drones, digital platforms, driverless cars and machinery, and nanotechnology. They also assign distinct capabilities to various phases of the technology. However, a variety of social, technical, and financial obstacles affect how it is used. However, these obstacles may be overcome by raising the farmers' level of financial and digital literacy and sharing best practices with all parties involved in the food supply and value chain. Artificial intelligence has tremendously changed the way food value and supply chain looked once. Therefore, a seismic move in the production, distribution, processing, or consumption of food has happened. The salient review of the role of AI through the food supply chain shows how it can be efficient, waste-free, and avert crises. AI-driven agricultural technologies, including predictive analytic and precision farming tools, help farmers control pests, sow more effectively, and make better use of resources in order to reap higher yields and lessen their environmental impact. In terms of processing, AI applications support sorting and packing procedures by using quality control features devised to work for the most advanced imaging and robotic systems. Similar to this is how AI supports optimization of logistics through better delivery and routing plans, which decrease waste because of more significant inventory control and, ultimately, also reduces the carbon impact of the transportation sector.