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The Benefits of Aquaculture with IoT Technology

Earlier this year, we took our underpaid MBAs on a field trip. We don’t do any of that team-building, touchy feely stuff where you fall into each other’s arms or go to a ballgame where they charge $10 for watered-down beer. Nope. We wild-harvested shellfish—clams, oysters and mussels—straight from the beach. Why? Well, we can’t afford a catered seafood buffet for one thing. And there’s no better way to build esprit de corps than digging into a barnacle-encrusted oyster shell with a blunted tool to extract slimy, salty flesh. It turns out not everyone is a frugal hunter-gatherer like us, so fish farming is big business. Where there’s money, there will be a tech entrepreneur with a solution. In this article, we’ll talk about how startups are bringing Internet of Things technology to improve the benefits of aquaculture. Finally, a topic we can really dive into.

Aquaculture involves the breeding, rearing and harvesting of animals and plants in both fresh and salt water environments, mainly for food and to be used as props in Red Lobster commercials. Globally, aquaculture supplies more than 50 percent of all seafood produced for human consumption, according to NOAA, which estimated the value of the market at about $160 billion back in 2014. And, if you believe the random market reports generated by unemployable MBAs, the aquaculture industry will be worth north of $200 billion by the next decade. Meanwhile, seafood and aquaculture tech startups reeled in $193 million in 2016, a 271% increase on the $52 million raised across both 2014 and 2015, according to AgFunder News. It’s only a matter of time before we pull the last bluefin tuna out of the ocean, so we’ll once again need technology to save the day.

Benefits of Aquaculture with IoT Technology

Enter IoT companies and startups that are using or developing technologies that pull in data, from smart sensors to satellites, that can be crunched using various cloud-based analytic software tools, including artificial intelligence, to make aquaculture operations more efficient and even eco-friendly. For example, mega-corporation Cargill announced earlier this year that it would release a predictive software platform called iQShrimp that uses machine learning and sensors to give farmers insight into their operation. The platform collects data on shrimp size, water quality, feeding patterns and weather conditions using mobile devices, sensors and automated feeders. Combined with other data, the algorithms go to work to provide recommendations such as feeding management strategies and optimal harvest dates.

Currently, Cargill is a big fish in a small pond. But here are some startups that hope they can survive the upstream battle.

Predicting Environmental Changes with Iot Technology

Founded in 2014, The Yield is an Australian company that has raised $11.5 million in investments since 2015, including a $6.5 million Series A last year that included power toolmaker Bosch. The company’s Sensing+Aqua IoT platform is mainly used in Australia’s oyster farming industry. Sensors collect a number of important climate conditions including salinity, water temperature and depth, barometric pressure and sea-tide height. The data is transferred to The Yield’s Microsoft-based cloud platform, where AI and other analytical software converts it into three-day predictions about local weather and harvesting conditions.

Such hyper-local information is particularly useful for oysters farmers who are often forced to shut down harvest areas due to heavy rains that can wash contaminants into bays. However, those decisions are typically based on monitoring rain gauges from public weather stations that could be many kilometres away, resulting in financial losses of between $20,000 and $100,000 a day depending on the season. The Yield says its predictive IoT system can reduce unnecessary harvest closures by 30 percent. That’ll at least buy you a baker’s dozen of freshly shucked oysters.

Counting Fish Using IoT Technology

Founded in 2009, Canadian aquatech company XpertSea Solutions has raised about $8.8 million, including about $7.5 million in April. Investors included Aqua Spark, one of the few investment firms to focus on aquaculture exclusively. If you thought counting sheep could put you asleep, try counting fish larvae. That’s what the company’s high-tech XperCount bucket does for hatcheries and fish farms trying to better control inventory. Employing AI and computer vision to count and size organisms such as shrimp larvae, XperCount is an IoT-enabled device that connects to a portal where customers can access data and analytics.

Aquaculture Technology Solution

Credit: XpertSea Solutions

The company claims its platform is more efficient and accurate than traditional methods of hand-counting. For example, an aquaculture company in India has replaced manual counting with XperCount. It used to take two people 25 minutes each to count post-larvae from a random bag during packing. Now, with the XperCount, one person can count up to five bags in that same time. XperCount also increased the company’s counting accuracy by 60 percent, according to the case study. XpertSea has customers in 48 countries.

Watching Fishy Behavior with IoT Technology

Found in 2016, Umitron is headquartered in Singapore but is mostly run by a team with roots in Japan. The startup raised a Seed round worth $8.3 million this month. At the core of the technology is UmiGarden, an IoT device that runs on solar power. It uses sensors and machine learning to detect and determine when fish are ready to feed, to avoid wasting money on overfeeding. Using computer vision—the technology behind facial recognition—to understand fish behavior might sound far-fetched but we found something similar from an Irish startup called Cainthus that does the same trick with cows.

The UmiGarden by Umitron

The platform also pulls in satellite imagery to provide data about environmental conditions, such as water temperature, which affects feeding behavior. Umitron is also using the IoT data to research the behaviors of different fish species to determine best practices for farming hybrids, according to AgFunder News. In addition, the startup is also working with companies that produce insect-based fish feed to analyze the performance of their products, AgFunder reported.

Doing Ocean Research with IoT Technology

Founded in 2012, Catalina Sea Ranch has established the United States’ first offshore ranch in federal waters, about six miles from its HQ in San Pedro. The aquatech startup has raised $3.8 million and has successfully harvested millions of mussels since first seeding its 100-acre “ranch” last year. Eventually, the startup hopes to grow all manner of bivalves, as well as kelp, across one thousand acres. In addition, Catalina Sea Ranch collaborates with U.S. scientific agencies like NOAA and research institutions on a project dubbed the Ocean Internet of Things. At the heart of the system is a Navy Oceanographic Meteorological Automatic Device (NOMAD) buoy that collects and transmits all sorts of oceanographic data in the region for assessing environmental impacts and optimizing farming operations.

The NOMAD buoy. Credit: Catalina Sea Ranch

 

Last year, the facility added a submersible device called an image flow cytobot to the NOMAD platform that analyzes particles in the water using an onboard microscope and machine vision. The device serves as an early-warning tool for detecting harmful algae blooms, which can really ruin your all-you-can-eat mussel and frites buffet.

The Rest of the Catch

Here are a few other small IoT aquatech startups we netted during our research:

Founded in 2013, eFishery is based in Indonesia and has picked up about $1.2 million in disclosed funding for its automatic fish feeder that can be controlled using a smartphone app. In addition, the company is reportedly developing  an in-pond sensor to track how hungry fish are by monitoring their movements and the ripples in the water. The idea is that the hungrier the fish, the more aggressive they become, creating more turbulence in the water. If the fish are just chilling (or belly up like our goldfish Goldy), then the feeder shuts off.

Founded in 2015, Jala is another startup out of Indonesia that provides IoT sensors and software for monitoring water quality at shrimp farms. The all-in-one device measures dissolved oxygen, temperature, humidity, pH, salinity and total dissolved solids. The data are instantly accessible via the Web or an app. The company even claims to employ algorithms to make corrective actions based on the data from the sensors.

Founded in 2012, Eruvaka Technologies from India produces both hardware and software for monitoring fish farms remotely. Its solar-powered PondGuard, for instance, provides real-time monitoring of water parameters such as dissolved oxygen and and pH to catch problems before they occur. The devices automatically adjusts aerators based on dissolved oxygen readings, saving up to 20 percent in energy bills.

Lastly, we have an early-stage aquatech company out of Portugal. Sensaway, is a recent graduate from HATCH, the first-ever aquaculture accelerator backed by Alimentos Ventures, an early-stage aquaculture investment firm. It manufactures solar-powered sensors that it says are easier to maintain and operate than current models on the market.

Credit: Sensaway

 

Conclusion

Fish farming is the fastest growing food sector in the world, but as you can see from our early-stage startups here, the industry is only recently getting onboard technologically. It’s interesting to note that most of the IoT platforms also incorporate some type of AI, such as computer vision for monitoring species or machine learning for analytics and predictive modeling. That’s a trend we’re seeing that extends well beyond aquaculture or even agriculture. It is also noteworthy that Cargill, the largest privately owned corporation in the United States, has a stake in IoT for aquaculture. We wouldn’t be surprised if some of its peers like Monsanto dive in, perhaps looking to make a quick acquisition of one or more of the startups above. After all, if there’s one law of the ocean: Big fish eat little fish.

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