Application and Prospects of Artificial Intelligence (AI)-Based Technologies in Fruit Production Systems

The process of cultivating soil for crop planting and domesticating animals is known as agriculture. A growing agriculture sector indicates an improving economy. Agriculture is considered as the initial pillar that supports global food safety. Additionally, it controls the majority of the global economy. Since we depend on agriculture for survival, it needs to be regularly supervised by us. In this global era of computerization, humans depend entirely on cyberspace material as it is super-fast and takes less time as compared to humans. Hence, human vision can be replicated by computer vision. Visual data and information are processed and analyzed using computer hardware and software. It covers the procedures for gathering, sending, processing, filtering, storing, and comprehending visual data. The study of computational theory can direct computer vision research, and a variety of applications offer a solid foundation and research platform. The use of machine vision has recently increased in response to the growing need for fast and precise ways to track the production of fruit. Machine learning (ML) algorithms make it possible to swiftly and reliably analyze enormous amounts of data, regardless of complexity. It is already widely used in many domains, such as credit analysis, fraud detection, defect sophisticated spam filters, picture recognition patterns, prediction models, and inspection of product features. But with so many options available, it is critical to understand the unique qualities of each approach and the optimal situation in which to apply it. In this review, we have discussed in detail the use of artificial intelligence (AI) in fruit production and summarized more than 110 research applications of AI in fruit production technology. As of now, this review is the first compilation work on the application and prospects of AI-based technology in fruit production systems. This review will provide a single-point comprehensive source of information for academics and researchers worldwide seeking information related to AI-based technologies in fruit production system.