Harnessing Garlic Extract and AI for Sustainable Disease Mitigation in Aquaculture

Abstract

This comprehensive study delves into alternative and sustainable disease management in aquaculture, particularly in cultured rabbitfish (Siganus rivulatus) susceptible to Pseudomonas aeruginosa infections. Acknowledging the vulnerabilities in conventional veterinary medications and the need for rapid diagnosis, the research investigates the use of raw garlic extract as a dietary supplement alongside machine learning-based diagnostic methodologies. Using histo-biochemical analyses, the study finds that fish treated with garlic extract showed significant resistance to infection without visible signs of lethality. Furthermore, machine learning classifiers achieved an accuracy rate of 97.2% in distinguishing healthy and infected fish. The study thus provides evidence for garlic's potential role as a sustainable antimicrobial agent, and machine learning's efficacy for rapid, accurate diagnosis.