Detection and quantification of Macrobrachium rosenbergii larvae in culture tanks, using image processing with artificial intelligence

Current global trends show that food shortages are expected to occur throughout the world in 2050. Therefore, it is paramount to advance the aquaculture industries to modern technology standards. A key challenge in this field is the tiny size and large numbers of prawns, which are a crucial part of the food supply in Asia. This presents a major difficulty in growing prawns. We developed a system that included three algorithms to evaluate the number of prawns, utilizing artificial intelligence. Those algorithms were successful under lab and industrial conditions. The system increases efficiency in the aquaculture industry by enabling the farmer to feed, plan, and track the growth of the prawns. It provides a major step in creating a fully autonomous robotic system for handling prawn growth.

Category: COMPUTING Country: ISRAEL Year: 2021


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