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Abstract
In recent years, shrimp farming systems have become increasingly intensive and modernized, requiring the adoption of advanced technologies, particularly solutions based on Artificial Intelligence of Things (AIoT). This study interviewed with 50 super-intensive whiteleg shrimp farmers in Ca Mau Province. Descriptive statistics and multivariate regression analysis were employed to evaluate the technical and financial indicators of the farming models. The stocking density was relatively high, reaching up to 201 individuals per m², resulting in a productivity of 32 tons per hectare per crop. This farming model requires a high level of investment and yields correspondingly high profits, with average investment costs and net returns of 887.07 million VND and 509.75 million VND per hectare per crop, respectively. Commonly used AIoT-related devices include automatic feeders, surveillance cameras, and remote control systems. The proportion of farmers using the Internet to support shrimp farming activities was 37.5%. Regression results show that the use of AIoT devices and technologies has a significant effect on shrimp farming profitability. However, fewer than 50% of the surveyed households expressed readiness to adopt AIoT technologies due to high investment costs, concerns about data accuracy, and incompatibility with their current farming scale. Therefore, the proposed solutions focus on awareness-raising, technology demonstration, and financial support to promote AIoT adoption in super-intensive whiteleg shrimp farming.
Keywords: AIoT, Ca Mau, super-intensive, whiteleg shrimp.