Development status and prospect of fish-cutting technology
Cutting is a pivotal step in the initial processing of fish products,encompassing beheading,trimming,slicing,and dicing.Traditional metal-knife cutting methods are marred by inefficiency,imprecision,and a propensity for bacterial growth,failing to meet market demands for precision and quality.Additionally,the reluctance of workers to perform manual labor in wet conditions exacerbates labor shortages and inefficiency.Adopting innovative cutting technologies,complemented by intelligent controls,is thus imperative.This study reviews the advancements and applications of waterjet and ultrasonic knives in sustainable cutting methods within the fish and food industries.It evaluates their respective merits and demerits,noting that waterjets excel in cutting hard-textured fish.At the same time,ultrasonic knives are adept at handling fish's viscous,elastic,and adhesive properties.The abstract further explores the integration of intelligent technologies in fish cutting,such as machine vision for precise cutting paths,simulation technology for adjusting process parameters,and multi-sensor data fusion for decision-making,which could potentially replace human labor.The study also addresses the current challenges and future directions for these technologies,highlighting the potential of artificial intelligence,machine learning,and deep learning to enhance the autonomy and robustness of fish-cutting equipment.By reducing operational and maintenance costs and integrating advanced technologies,the study envisions a future where fish cutting is more automated,intelligent,and capable of producing high-quality products efficiently to satisfy escalating market demands.This research is a valuable reference for industry professionals and researchers aiming to innovate in fish product processing,thereby enhancing the automation and intelligence of fish-cutting processes.
万方数据
维普
