Acclimatisation of post-larvae shrimp is critical to guarantee adequate growth in freshwater shrimp farming. Acclimatisation aims to adapt shrimp from their natural habitat (seawater) to the freshwater that is in the pools where they will grow later. Acclimatisation is a challenging process because of the more frequent required monitoring, the potential harm that out-of-limit indicators could cause, and the rapid correction needed to return the monitoring indicators to their specification ranges. This research proposes an IoT-based system integrated with advanced statistical tools in the form of control charts to support the monitoring of the acclimatisation process. The proposal is to be implemented in a shrimp farming company and addresses the negative effects of the existing manual monitoring (operators taking readings and annotating in notebooks manually), the need to monitor acclimatisation proactively (with control charts) and, eventually, reduce the current mortality rate of the process. The paper reports on the design, future implementation, validation and integration with advanced statistical models, challenges, and eventual benefits of the proposed IoT-based system.