Cultivation of Flowerhorn Species in Search of Superior Quality Seeds using IoT and Open CV

Abstract

The Flowerhorn is a type of ornamental fish that many fish hobbyists are attracted to because of the uniqueness of its head and the beauty of the color of the scales. And has a high selling value. The treatment requires equipment: An aquarium, oxygen aerator pump, water filter, water pH meter, UV lamp, and fish feed. In keeping Flowerhorn fish in the aquarium, you must pay attention to the acidity of the water (pH) and the feeding schedule according to the needs of the Flowerhorn fish age.Flowerhorn fish is one of the most popular ornamental fish. However, it is a little difficult to find superior seeds. To get superior quality Flowerhorn fish, IoT technology is needed to monitor the development of Flowerhorn fish using a Deep Learning approach, namely the Convex Hull Algorithms from OpenCV. OpenCV is a method that can detect objects using a camera, and the results of the image storage will be saved to a computer database that can process objects that have been tracked. Using this IoT and OpenCV system, you can feed fish, adjust water pH automatically, and identify all Flowerhorn fish in the aquarium using a camera. And can distinguish the color pattern and size of the forehead of the ideal Flowerhorn fish. So, Flowerhorn fish develop optimally and have a high selling value.