The use of big data is becoming increasing accessible in aquaculture with systems like Manolin, XpertSea and Jala offering services that could revolutionize practices within the industry. These platforms aim to offer services that improve the management of farming activities. Within the production process for aquaculture, huge amounts of site and operation specific data is generated, and platforms like XpertSea offer services that streamline this data. Using Big data farmers can obtain health information on the animals they raise, monitor disease outbreaks and water quality and several other pertinent sources of information. Additionally, the use of artificial intelligence may also result in increased productivity with algorithms boosting feed conversion rates and methodologies that can detect when fish are experiencing increased biological stress.
The use of big data has the potential to change the labor structure within aquaculture. Aquaculture is a traditionally labor-intensive sector where producers must often manually handle the specimen, they raise in order to deliver medical treatments or acquire accurate counts as the fish mature. Working on site carries high risk of personal injury, but big data and Ai could transition many farming operations to less labor-intensive operations. The process of automating portions of the fishing industry, however, could prove disruptive, especially in terms of labor practices. The reduction in demand for workers who perform manual tasks could became an issue in emerging economies where people rely on manual aquaculture work as a source of income.