Abstract

Fruit and vegetable juices contribute to the economic growth of the world beverage industry due to their unique nutritional value. Artificial intelligence has shown great potential in the R & D of fruit and vegetable juices. In this review, the important findings of scholars on this topic over the past decade were summarized. Firstly, the nutritional and health benefits of fruit and vegetable juice and the application of AI technology are briefly described. Secondly, the optimization of fruit and vegetable juices process performance by AI was presented, and the quality of fruit and vegetable juices was evaluated by combining AI with analytical techniques. In addition, it also expounded the necessity of AI in predicting the shelf-life of fruit and vegetable juices. Finally, some future challenges and potential solutions are proposed. The fruit and vegetable juice beverage industry is at a critical juncture where AI innovation and data accountability must coexist. Leaders who succeed in achieving this delicate balance will be greatly rewarded. It is hoped that this review will help provide valuable information for the development of future fruit and vegetable juices based on AI. Industrial relevanceThis paper argues that the R & D of future fruit and vegetable juice based on artificial intelligence has a sustainable long-term development trend. AI helps to quickly design the recipe and optimize the process, and a large amount of data information in the processing of fruit and vegetable juice is processed and integrated through AI, maximize the quality of fruit and vegetable juice products. The integration of AI with traditional analytics can automate fruit and vegetable juice quality assessment and optimize efficiency and accuracy. In addition, it guides the modeling of shelf-life prediction models, providing a promising way for storage stability, quality control and monitoring processes in the food industry. Overall, the integration of AI technology with fruit and vegetable juice R & D brings great promise for improving the efficiency, quality and sustainability of future juice production processes.

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