The poor situation that only monitoring water quality is completed by using the image process and the AI neural network. It makes the shrimps status can be measured more precisely.

Therefore, precise status data could be used to modify the breeding strategy better. As a result of that, the accuracy of feeding and timing of replacing water of pools becomes much better.

It is possible to high precise recognize shrimps, feed the bait, and sense the water quality based on the AI algorithm developed by us. These data will be shown to observers in real-time. Moreover, these big data will be analyzed and refine the strategy to decide when to feed and discharge water. Therefore, there we made an AI closed-loop system to decide the strategy automatically.

The AI-based image observation and analysis techniques not only help aquaculture practitioners. They are also beneficial to related industries. For examples, cloud services and the development of IOT . As for software, it helps to complete the product resume. Besides, the result of analysis can also help bait industry to improve the recipe.