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Artificial intelligent device for counting small aquatic animals Kunn Kangvansaichol, Bordyn Cheevatanakornkul, Chetnuwat Danlaphon, Algaeba
Shrimp and fish hatcheries in many developing countries still rely on manual and volumetric counting to enumerate the postlarvae and fry for sale to customers. This counting ensures that the customers receive what they pay for. The counting process requires time and patience and is usually conducted by skilled operators. Typically, for Penaeus vannamei postlarvae (PL or PLs), 1,5002,000 PLs can be counted by one operator within
15-20 minutes. To speed this up, hatcheries deploy more than one operator to count PLs. The PLs sold may be counted by hand again at the site of customers, i.e. shrimp farms, or fish farms. In addition, for Nile tilapia fry, up to 500 for >5.5mm graded, and 1,000 fries for 4 mm graded are usually counted in one bag, of which takes 5-10 minutes per count. In the past decade, a few efforts were made to develop a device to count these small aquatic animals
Hatchery Feed & Management Vol 8 Issue 1 2020