Automatic shrimp seed counting device based on Internet of Things (IoT) and Artificial Intelligence (AI) to support precision sustainable farming / Hanas Muchamad Hanis ... [et al.]

Indonesia, as a maritime country with significant fishery product exports, recorded an export value of 5.72 billion USD, with shrimp being the main commodity. Despite the global recognition of its fisheries industry, particularly shrimp farming, there are still serious issues such as disease outbreaks causing substantial losses. The problem arises from the incongruity between pond size and the quantity of shrimp larvae released. This leads to serious issues in the shrimp growth process because the density of shrimp in a pond affects the amount of feed given and the growth of the shrimp. Inappropriate shrimp density results in suboptimal growth. Current field solutions are still conducted manually, leading to inefficiencies and human error. Considering the vast potential of shrimp farming and the various existing problems, technological approaches, including automation in shrimp seed counting, need to be developed to improve farming outcomes. This research aims to enhance the quality and efficiency of shrimp farming through automation technology, reduce human error, and increase observation accuracy, all of which are expected to boost both the quantity and quality of shrimp harvests. The resulting prototype can perform automatic counting with an accuracy rate of 96.2% within 5 minutes per bag. Monitoring crucial parameters in seed dispersal, such as temperature and salinity, can be carried out by applying IoT through the Blynk application.current semester that sustains the overall financial deficit of the applicants for that semester.