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Thailand Develops Aqua-IoT

Aquaculture is important to the Thai economy. To ensure the long-term growth of this important industry, it is necessary to strengthen the production system by increasing farmers’ sustainable farming capacity and implementing Aquaculture 4.0.

To help with this effort, the nation’s National Electronics and Computer Technology Centre under the National Science and Technology Development Agency (NECTEC-NSTDA) created Aqua-IoT, an IoT-based monitoring system for water’s physical, chemical, and biological qualities.

Dr Supanit Porntheeraphat, Principal Researcher of the NECTEC Digital Agriculture Technology Research Team, explained that the project to develop a digital aquaculture system began at NECTEC in 2010 at the height of disease outbreaks that severely harmed Thailand’s aquaculture industry and the overall economy. The system has been constantly developed and improved since then.

The integration of key data – physical, chemical, and biological water qualities, as well as weather – into a single dashboard allows users to understand the relationship between the data, analyse the data, and make informed decisions.

Dr Supanit added that Aqua-IoT is made up of four major systems: the Water and Weather Monitoring System, the MuEye System, the ChemEye System, and the Minimal Lab System. The first system measures water quality (temperature, pH, and dissolved oxygen) as well as weather (wind speed and direction, light intensity, and rainfall).

These variables are critical for aeration and feed management. The MuEye System is intended to track the growth of aquatic animals and parasites, whereas the ChemEye is a chemical reader that measures the levels of nitrite, ammonia, chlorine, phosphate, and pH in the pond.

Minimal Lab is a probiotic application management system that monitors bacteria growth. The system is also integrated with BIOTEC-NSTDA disease diagnostic tests for shrimp and fish, with test results automatically sent to an online database that users can access via a web browser and a message application.

Aqua-IoT technology has already been licenced to businesses, allowing the devices to be sold commercially. Its advantages include energy and feed cost savings, as well as disease risk reduction. On the first crop, a return on investment can be expected.

The research team began introducing Aqua-IoT to aquaculture farmers in the eastern region in 2020. Working closely with farmers, according to Dr Supanit, allows researchers to better understand their requirements and needs, which leads to the development of other technologies to support aquaculture farming.

An automatic shrimp counting machine for managing pond density and a lift net machine that automatically measures shrimp density for feed and water quality management are two technologies under development.

Udon Songserm, the owner of Wasin Farm in Rayong Province, shared his Aqua-IoT experience. He clearly sees the benefits of cost, time, and labour savings after having the system installed in one of his ponds. He no longer needs to be on-site all the time to keep an eye on his ponds.

Dissolved oxygen data enables him to activate aerators only when needed, rather than always having the machines on, significantly reducing energy costs. Data on water’s chemical and biological properties prompt him to take appropriate actions to avoid losses caused by toxic conditions and disease outbreaks.

Udon also stated that some of the data collected from this pond, such as temperature, can be applied to other ponds in the area. The temperature has a direct effect on dissolved oxygen and can thus be used to manage aeration.

The NSTDA is tasked with accelerating science, technology, and innovation development in Thailand to respond to industry needs and improve the country’s competitiveness in the global economy, thereby contributing to national economic and social development. NSTDA is made up of five national research centres and two organisations involved in technology transfer and business development and promotion including the NECTEC.


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