NEC and Nippon Fisheries Co., Ltd. (hereinafter referred to as Nissui) merge Nissui's expertise in breeding technology with NEC's advanced AI and IoT technologies to jointly develop a high-efficiency aquaculture business solution for catfish.
With the rapid population growth and diversification of food worldwide, it is expected that the shortage of aquatic products will reach about 30 million tons by 2030. This shortage can only be compensated by aquaculture products (Note 1). The amount of fish fed and the amount of fish needed to measure the length and weight of the fish. In the past, it was measured directly using nets to catch fish, or each fish was manually measured by displaying the images in the rearing tank. Therefore, there is an urgent need for Improve the efficiency of measurement services through ICT.
The cooperation started in 2017 and was verified by Nissui’s salmon farming company Kuroken Aquatic Products Co., Ltd. (Kazama, Miyazaki, Japan). The NEC AI technology was applied to the automatic analysis of fish’s body length and weight. To grasp the overall growth status of the culture pond.
The solution developed this time uses AI technology to automatically sense the target fish to be measured from the images of the fish captured by the underwater camera, and automatically extract the measurement points, and automatically determine the length of the tail according to the measurement point (tail length, Note 2) Measured with height (Note 3). Based on these values, the weight of the fish can be calculated using the fish body weight conversion formula.
By using contactless methods to measure the length of the fish and the fish’s body weight, it is also possible to achieve the same or a higher level (no personal difference) than the manual operation by greatly reducing the working time through the mechanization and automation of the measurement operation. Quality, which allows operators to focus their efforts on higher-value added businesses that are supposed to be completed manually. In addition, NEC also plans to use this solution to put the 'automated fish length measurement automation service (tentative)' Target fish species have been expanded to tuna, and it is expected to start providing cloud services from the second half of 2018.
1. Improve the operating efficiency of farm fish body length measurement operations, and grasp the growth and distribution of the entire fish pond
By uploading the farmed fish image in the fish pond taken by the stereo camera (Note 4) to the cloud and using NEC's most advanced AI technology (mechanical learning) for analysis, the height and weight of the cultured fish can be automatically calculated. In this way, The average value and distribution of the length and weight of the cultured fish in the entire fish pond can be grasped without artificial means, and the number of fish farming measurements can be reduced to about 1/6. At the same time, the number of measurable fishes can be increased. Errors (deviations of the measurement points at the measurement points/inability to concentrate on long-term operations) improve measurement accuracy, which helps improve the efficiency of farmed fish measurement operations.
2. Achieve non-contact length measurement, reduce the risk of reducing the value of goods, save manpower
Since the fish is measured without contact, the fish will not be injured during measurement, and the risk of fish death and fish sickness due to direct sampling from the net will be avoided in traditional methods. Industry management. At the same time, although traditional fish body measurements will still be applied to the management of fish growth status and the quality and frequency of feeding in culture, it is expected to be effectively saved through the automation and simplification of actual operations. Labor costs, improve measurement accuracy, etc.
Through this joint development, and the flexible application of AI and IoT in aquaculture, the accuracy of Nissui's operational evaluation indicators has been greatly improved, and its measurement efficiency has been further improved. Nissui will continue to expand the application of AI and IoT in the future. In order to provide safer, rest assured, delicious cultured fish.
In the future, NEC will continue to promote the digital transformation of the aquaculture industry through advanced ICT technologies such as AI and IoT technology, thereby contributing to 'co-creating' the new social value of the aquaculture industry.
(Note 1) Source: 'The State of World Fisheries and Aquaculture 2010 (World Aquaculture White Paper 2010) (FAO, 2010)'
(Note 2) The outer edge of the depression at the middle of the upper part of the upper jaw to the caudal fin.
(Note 3) The vertical distance between the back edge of the fish body and the edge of the abdomen
(Note 4) A camera that can record the depth direction information by simultaneously shooting the object from multiple different directions
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