Precision Aquaculture with Inclusion of Commodity Smart Phones and Collective Learning

Authors: Nadi F and Rastegari H*

DOI: 10.23880/ijoac-16000281

Volume 7, Issue 4

Abstract

The rising demand for seafood has led to a growing interest in aquaculture, requiring careful attention to aspects of the cultivation process like stocking, feeding, and safeguarding against predators and disease for success. Precision aquaculture offers promising advancements, but its high initial costs pose challenges. Collective learning and smartphone technology provide accessible solutions for all farms to benefit from data-driven insights and collaborative disease management. Despite the potential long-term benefits in terms of production efficiency and resource management, full implementation of precision aquaculture remains economically infeasible for individual and small-scale farmers. However, there are some technologies such as collective learning and commodity smartphones that offer opportunities to benefit both precision and non-precision aquaculture farms, enhancing data-driven decision-making and collaboration.

Keywords: Precision Aquaculture; Collective Learning; Smartphone; Artificial Intelligence

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