August 14, 2019


UMITRON launches "world's first" real-time fish appetite detection system


Singapore-based UMITRON Pte. Ltd. has launched Fish Appetite Index (FAI), the world's first real-time ocean-based fish appetite detection system, the company announced today.



UMITRON FAI uses efficient machine learning and image analysis techniques to extract relevant data that can then be used to accurately quantify fish appetite. The FAI software has already been rolled out to existing customers to optimise their feeding operations.

According to UMITRON, new technologies, such as Internet of things (IoT) devices and machine learning, offer farmers a solution to improve their feeding operations with the use of efficient data analytics.

FAI takes the guesswork out of fish feeding. UMITRON said that the FAI algorithm takes in the same visual information that humans would and then scores fish appetite and presents it in an easy-to-understand chart. When used in tandem with a smart feeder such as UMITRON's UMITRON CELL, the feed time intervals and amounts can be automatically adjusted with minimal human interference. Farm operators can utilise FAI to fine-tune their feeding schedules, ensuring fish are always satiated. This is easily done via their smartphones with the UMITRON app, where they can check and remotely adjust feed settings based on the FAI feedback.

FAI benefits farmers by reducing wasted feed, improving profitability as well as environmental sustainability, UMITRON added. Furthermore, FAI improves farmers work life by eliminating the need to be out on the water during dangerous conditions.

Employed in combination with technologies like CELL, FAI allows farmers to stay onshore during weekends while still keeping a close eye on their fish stocks. It also reduces the demand for every employee to be an expert at feeding and instead frees workers to focus on other tasks that improve fish welfare.

Existing UMITRON customers have already begun using FAI alongside CELL.

"Today, there are many companies developing machine-learning algorithms for a variety of industries but only testing them under ideal conditions. The UMITRON Fish Appetite Index, on the other hand, is already being embraced by our existing customers at their ocean-based farm sites where it operates under real world conditions. It might be difficult for some of our potential customers to completely trust artificial intelligence at first, but FAI is an important tool that can be used to increase productivity and reduce waste," said Masahiko Yamada, managing director of UMITRON. 


"Our appetite analysis approach is being developed with customer feedback in mind. UMITRON will continue to develop similar value-added software services that can be automatically rolled out to our existing customer base. Also, we are open to developing other practical applications after discussions with potential customers or equipment partners," said Takuma Okamoto, chief technology officer of UMITRON.

UMITRON is currently looking for partners interested in using FAI for species such as Atlantic salmon, rainbow trout, European sea bass and gilthead sea bream.

The company is also seeking feeding system manufacturing partners who wish to utilise software to improve their current products. Umitron data analysis software, such as FAI, can be used in tandem with feed barges to optimise existing operations.

UMITRON will participate in AquaNor, which will be held in Trondheim, Norway, on August 20-23, and The Japan International Seafood & Technology Expo on August 21-23 in Tokyo.