AI Strategic Development for FQASC

They used the examples of types of artificial intelligence, integration of artificial intelligence in the food value and supply chain, other types of artificial intelligence-embedded technologies, barriers for artificial intelligence implementation in the food value and supply chain and solutions for barriers. Provide a summary of its analysis and the horizontal and vertical integration of artificial intelligence into the entire food supply and value chain. Artificial intelligence is increasing its role in this field, and advanced technologies such as robotics, drones, smart and autonomous machines are already transforming different stages of the chain. As a general guidance from this exploration of systematics literatures, the available studies suggest that artificial intelligence does not stand alone but interacts with other technical advancements such as big data, machine learning, service institution, agribots, industrial robots, sensors and drones, digital platforms, driverless movement implements, machinery and nanotechnology, thus providing different capabilities for different processes. But there is a social, technological and economic hurdle to the application of artificial intelligence. All of this can cross the bridge by effectively educating farmers in financial and digital terms and through generating best practices by the components of the food supply chain and value chain. This discussion will highlight different artificial intelligence roles across the different segments of the food value and supply chain. Its - through the means of precision agriculture- the agriculture segment and further adds and optimizes the fertile use of several raw materials which in turn would increase - these outputs. Another segment which is being helped from AI technologies is food processing which is converting raw food material into edible food and taking care of quality control to sustain edible status: the departments are basically setup in manufacturing; the technology is getting adapted widely to ensure which the obtainable attribute quality parameters are monitored and rectified which has resulted in this automation of the imaging, the analysis and the indexing. With every green product shed in an efficient distribution route, transactions are produced, and for supply chain leaders, it makes matters on logistics easier for them through route optimization and predictive analytics, which assists in real-time stock management, optimizing cost considerations accordingly, improving operability, and reducing damage to surrounding ecosystem as a result. Another way, AI is enhancing customer experience is by ensuring a personalized experience for customers through big-data insights.