AI play in aquaculture?

 

Write an IEEE paper 5 pages about AI play in aquaculture?

Sample Solution

AI technology has developed rapidly over the past two decades in many fields, often in ways that can easily be adapted to aquaculture production. Two advances that have particular impacts are deep learning and convolutional neural networks. Advanced disease detection based on fish behavior and external appearance has emerged as a promising area for AI application. Chen et al. (2022) reported on a two-phase image analysis system using deep learning and a convolutional neural network to classify three types of abnormal appearance in cage-cultured grouper. Of four classification models developed in the study, the best achieved an average accuracy of 98.94 percent.

understudies. Given the expected worth of such figures propelling scholastic achievement and hence impacting results like maintenance, wearing down, and graduation rates, research is justified as it might give understanding into non-mental techniques that could be of possible benefit to this populace (Lamm, 2000) . Part I: INTRODUCTION TO THE STUDY Introduction The country is encountering a basic lack of medical care suppliers, a deficiency that is supposed to increment in the following five years, similarly as the biggest populace in our country’s set of experiences arrives at the age when expanded clinical consideration is essential (Pike, 2002). Staffing of emergency clinics, centers, and nursing homes is more basic than any time in recent memory as the enormous quantities of ‘people born after WW2’s start to understand the requirement for more continuous clinical mediation and long haul care. Interest in turning into a medical caretaker has disappeared as of late, presumably because of the historical bac

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