Singapore Startup Uses Artificial Intelligence To Shrimp Farming

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A Singapore startup is taking the feasible applications for expert system and Internet-of-Things an action further as well as has actually created what it calls a “one-stop solution” for shrimp farmers in an initial step to “change aquaculture into scientific research.”

AquaEasy provides a solution that deals with sensing units, software application and also various smart procedures to keep an eye on as well as optimise vital specifications for shrimp ranches, for example water high quality, feeding and health and wellness analyses.

The option is based upon information analysis capacities utilizing expert system to apply 21st century electronic techniques to typical tank farming, aiming to reduce costs as well as threats of shrimp farmers, striving to increase return as well as predictability and carry out lasting aquaculture techniques.

Remote cloud-based aquaculture control

The process begins with sensors taking on precise, rapid as well as dependable dimensions of numerous water quality criteria, real-time data which is then refined by a particularly made software program with cloud connection and provided on all attached tools. Man-made intelligence-based data analysis furthermore offers insights into biomass estimate as well as growth abnormalities of the shrimps.

This permits harvest prediction, feeding optimisation, prevention of failure risks, water high quality management as well as remote surveillance and also control, the firm states, noting that its solutions has thus far been released at shrimp farms in Singapore, Indonesia and Vietnam where shrimp farmers have conveniently adopted the idea to manage their fish ponds via mobile phone.

AquaEasy is supported by German design firm Bosch with the latter’s newly released innovation as well as start-up incubation platform “Expand” which has actually been set up collectively with the Singapore Economic Advancement Board’s company venture structure arm EDB New Ventures as well as was opened up on July 28.