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ผู้เขียน หัวข้อ: A practical guide to using AI in aquaculture  (อ่าน 1196 ครั้ง)
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« เมื่อ: เมษายน 03, 2020, 03:09:20 PM »

by Jonah van Beijnen and Gregg Yan
27 January 2020, at 9:33am



Artificial intelligence (AI) is already making huge improvements to the efficiency and sustainability of global aquaculture, as this practical guide to some of the best systems currently available shows.

Artificial intelligence ? machines which constantly learn. We?re not talking about monosyllabic Arnie-esque Terminators nor Matrix-style floating robot squids ? just the emerging apps and programs which make living in 2020 easier.

XpertSea's XperCount uses cameras and machine learning applied to computer vision to count, size, weigh and image shrimp in seconds
XpertSea's XperCount uses cameras and machine learning applied to computer vision to count, size, weigh and image shrimp in seconds
Things have changed drastically since 2010 and AI is already a part of the daily lives of millions of people. No need to drive to the big city to pick up that book or tool you?ve been drooling over ? just a few clicks and it?ll be delivered to your doorstep. You can avoid the indignity of asking for driving directions because of the magic of Waze and Google Maps. Even the ads that pop-up when you?re scrolling through social media are customised.

By providing a variety of services AI has become a potent tool in strengthening various industries ? especially aquaculture.

Reducing waste feed
Feeding represents the biggest cost to fish farmers, so optimisation in this area always means better profitability. But feeding strategies are often arbitrary and dependent on people who constantly watch how much the farmed stocks are gobbling up. Pellet dispersal is based on observation or, very often, intuition.

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Fine-tuning feeding regimes is crucial because stocks fed too little lose valuable weight, while overfeeding wastes money and pollutes local waterways. The skill of gauging when and how much to feed takes years to develop. To gain knowledge and experience, farmers remain onsite every day (weekends and holidays included) for months ? spending more time at work than with their families. And not every farmhand is a fish-feeding expert. But what if human skills and knowledge could be passed on to machines?



The constantly learning AI of Observe Technologies gauges why feed pellets remain uneaten past a certain point, helping farmers manually or automatically adjust how much to feed, minimising waste and maximising profit

https://thefishsite.com/articles/a-practical-guide-to-using-ai-in-aquaculture
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