Applying IoT and Machine Learning for Enhanced Efficiency and Disease Management, Advancing Sustainability in Freshwater Prawn Farming

Freshwater prawn farming is a growing trend in aquaculture, offering a potential solution to meet the increasing global demand for prawns. Freshwater prawn farming requires careful consideration of several factors, including site selection, hatchery management, harvesting, and post-harvest handling. Southeast Asian countries, with their favorable tropical climates and diverse prawn species, play a significant role in this industry. The Giant Freshwater Prawn (Macrobrachium rosenbergii) is the most common freshwater prawn species found in India. The integrated IoT system proposed in this research has demonstrated superior efficiency as compared to conventional freshwater prawn farming methods, making it scalable for both small and large-scale prawn farming operations. It has been evidently found that the CNN algorithm employed to predict the disease outbreak in prawns has demonstrated an accuracy rate of 73.33% accuracy.