Aquaculture Engineering Solutions

Crucially, in aquaculture, digital twins paired with AI form the backbone of closed-loop control systems. AI predictive models, running on the digital twin, forecast upcoming changes, such as a drop in oxygen or an approaching storm. These models then automatically adjust farm controls such as aerators, feeders, and temperature regulators to counteract adverse conditions preemptively. This self-regulating farm system mirrors how a living organism maintains homeostasis, ensuring optimal conditions. AI's ability to detect subtle shifts and trends invisible to humans makes fish farms highly resilient to shocks, whether from a sudden heatwave, a swing in water quality, or equipment failure. For example, if a sensor predicts a spike in ammonia overnight, the system may automatically increase water exchange or activate biofilters to protect the fish. Similarly, in anticipation of heavy rainfall, the system could reduce feeding in advance to maintain water quality, enabling the farm to "ride out" potential crises with minimal human intervention. This results in more stable and sustainable production outcomes. The synergy between AI and biomimicry effectively enhances human capabilities, enabling farmers to manage by exception rather than constant oversight. This advancement elevates aquaculture's profile as a high-tech food production method. Already, some large farms are integrating AI platforms with nature-mimicking solutions, signaling the future of Precision Aquaculture – a farming approach that utilizes advanced sensing, AI, and automation. Experts anticipate that this approach will soon become standard practice. The ultimate vision is an aquaculture system that is predictive, adaptive, and robust, where data and nature converge to ensure healthy fish, optimal growth, and efficient operations under any circumstance.

Land-based recirculating aquaculture systems (RAS) are at the forefront of sustainable seafood production, offering solutions to many environmental and regulatory challenges faced by traditional sea-based farming. However, scaling these systems from pilot projects to commercially viable operations present unique hurdles.   Key challenges and strategies to overcome them: 🔹 Technological Complexity: RAS facilities require advanced water treatment, biofiltration, and environmental control systems. Operators must manage not only the fish but also the water quality and bacterial populations, which are essential for system stability. Investing in robust technology and continuous staff training is critical for operational success. 🔹 Economic Viability: Achieving economies of scale is essential. High capital and operational costs mean that only well-designed, efficiently managed facilities can compete. Strategic site selection—preferably near major markets—can reduce transport costs and carbon footprint, improving profitability. 🔹 Feed and Inputs: Specialized feeds are required to optimize fish growth and minimize waste. Collaboration with feed manufacturers and ongoing R&D are necessary to develop cost-effective, sustainable feed solutions. 🔹 Workforce and Knowledge Gaps: Building capacity through workforce training, knowledge sharing, and industry partnerships is vital. Networks like RAS-N in the US help to address these gaps by connecting stakeholders and providing education. 🔹 Sustainability and Market Access: RAS offers reduced environmental impact, biosecurity advantages, and the ability to locate production close to consumers. These strengths should be leveraged in branding and stakeholder engagement to attract investment and public support.   The path to scale in land-based aquaculture is challenging but increasingly achievable thanks to technological advances, industry collaboration, and growing market demand. The next decade will be pivotal for RAS as projects mature and the sector demonstrates its potential for sustainable, high-quality seafood production. #Aquaculture #RAS #SustainableSeafood #Innovation #FoodTech #OperationalExcellence #FishFarming #BlueEconomy #ScaleUp #FutureOfFood

🌍🐟 Denmark sets a New Benchmark in Aquaculture: World’s First Zero-Mortality, Land-Based Fish Farm A noteworthy milestone for sustainable food production is emerging in Denmark, where a radically new aquaculture model is moving from concept to reality. 🇩🇰 In Hirtshals (Northern Denmark), Onnest ApS, founded by Samuel Muren, has announced the development of what it describes as the world’s first fully land-based fish farm designed to operate with zero mortality. 🔬 What makes this project different? 🐠 Species: Rainbow trout 🏭 System: Fully closed-loop, land-based facility (no sea cages) 💧 Water use: 100% recycled and continuously purified 🌡️ Control: Precise regulation of temperature, oxygen, and water quality ♻️ Waste management: All organic waste converted into energy or fertilizer 🌿 Feed innovation: Locally cultivated algae instead of soy or fishmeal 💊 Antibiotics: Designed to eliminate routine antibiotic use 📊 Monitoring: Advanced sensors and real-time data to prevent disease and stress 🎯 Target: Zero fish losses – unprecedented at commercial scale 🗓️ Planned start of operations: 2028 🌱 Why it matters ⚠️ Conventional aquaculture faces recurring challenges: ▪️Fish escapes and seabed pollution ▪️Disease outbreaks and antibiotic dependency ▪️Exposure to storms, climate variability, and marine pollution 🔁 A land-based, closed system directly addresses these risks while improving: ▪️Animal welfare ▪️Environmental performance ▪️Predictability and biosecurity If successful, this model could redefine how fish protein is produced — shifting the focus from maximum volume to maximum control, efficiency, and sustainability. 📌 Industry perspective Projects like Onnest highlight how aquaculture is converging with circular economy principles, precision farming, and alternative feed strategies. While scalability and economics will be critical tests, the concept signals a broader rethinking of future protein systems. #Aquaculture 🐟 #SustainableFood 🌱 #Denmark 🇩🇰 #LandBasedFarming 🏭 #CircularEconomy ♻️ #AnimalWelfare 🐠 #FoodInnovation 🚀 #FutureOfFood https://lnkd.in/dS_kBihX

Recirculating Aquaculture Systems (RAS): The Future of Sustainable Fish Farming ♻️🐠🐟 The Recirculating Aquaculture System (RAS) represents the culmination of decades of progress in aquaculture engineering and sustainability science. It’s a smart, closed-loop technology that enables high productivity while protecting the environment and conserving water. 🌍 Why RAS is the future of fish farming: 1️⃣ Water efficiency: Reuses over 95% of system water. Consumes less than 1% of the water used in open pond systems. 2️⃣ Full environmental control: Temperature, oxygen, and pH are optimized for each species. Year-round production unaffected by weather. 3️⃣ Clean and eco-friendly production: Zero discharge and minimal footprint. Free from antibiotics and chemical residues. 4️⃣ System integration: Can be linked to aquaponics systems to produce both fish and plants. 5️⃣ Universal adaptability: Operates efficiently in urban, desert, or coastal areas. 🐠 Common species cultured in RAS: Tilapia (Oreochromis niloticus) Atlantic salmon (Salmo salar) European seabass (Dicentrarchus labrax) Whiteleg shrimp (Litopenaeus vannamei) Each species requires customized system design and flow rate. 💬 In Summary: RAS is not just a system — it’s a paradigm shift in sustainable fish production. It embodies the vision of a blue, circular economy where technology and ecology work together to secure our aquatic future. 📘 Source: “Aquaculture in Recirculating Systems” – Dr. Amr El-Nag’awy & Dr. Zeinab Nagdy. #RAS #SustainableAquaculture #FishFarming #BlueEconomy #AquacultureInnovation #WaterRecycling #SmartAquaculture #EcoFriendlyFarming #CleanTechnology #FoodSecurity

Hydrogel-Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture https://lnkd.in/gU6Ek5e4 Our latest research introduces a modeling approach for 4D-printed capacitive sensor utilizing ionic hydrogel transducers for real-time ammonium monitoring in water. By leveraging ammonium-induced dissociation, the sensor causes osmotic pressure changes that alter electrode capacitance. This method improves the accuracy of water quality assessments, providing a cost-effective and responsive approach to sustainably maintaining healthier aquaculture environments with 4D printing prospects. Through advanced finite element modeling and real-time data analysis, it is paving the way for more sustainable and efficient practices in sustainable monitoring in marine environment monitoring. Authors: Mohammad Mirzaee, Mahdi Askari Sedeh, Ali Zolfagharian, Mostafa Baghani #australia #deakinuniversity #deakin #3dprinting #4dprinting #smartmaterials #additivemanufacturing #hydrogel #sensors #environment #sustainability #marine #aquaculture #monitoring

🐟 Transforming Aquaculture through Machine Learning and AI: The Aquabyte Story 🤖 Aquaculture is the 𝐛𝐫𝐞𝐞𝐝𝐢𝐧𝐠, 𝐫𝐞𝐚𝐫𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐡𝐚𝐫𝐯𝐞𝐬𝐭𝐢𝐧𝐠 𝐨𝐟 𝐟𝐢𝐬𝐡, 𝐬𝐡𝐞𝐥𝐥𝐟𝐢𝐬𝐡, 𝐚𝐥𝐠𝐚𝐞, 𝐚𝐧𝐝 𝐨𝐭𝐡𝐞𝐫 𝐨𝐫𝐠𝐚𝐧𝐢𝐬𝐦𝐬 in all types of water environments. In the fast-evolving world of aquaculture, where the $250 billion industry is constantly seeking ways to improve efficiency and sustainability, 𝐀𝐪𝐮𝐚𝐛𝐲𝐭𝐞 is at the forefront of applying machine learning and AI to 𝐫𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐞 𝐭𝐡𝐞 𝐰𝐚𝐲 𝐟𝐢𝐬𝐡 𝐟𝐚𝐫𝐦𝐢𝐧𝐠 is done. 👉 𝐓𝐡𝐞 𝐆𝐨𝐚𝐥  Produce healthy fish at a lower cost. The traditional fish farming industry relies heavily on the experience and intuition of farmers, who often manage their operations with limited data and insights. Aquabyte aims to change this by providing farmers with the power of data and ML to make more informed decisions. Aquabyte's AI technology is based on computer vision and edge computing, similar to the technology used in drones and autonomous cars. 👉 𝐇𝐨𝐰 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐰𝐨𝐫𝐤? The use of Aquabyte's AI technology involves lowering a camera with an attached graphics processing unit into the fish pen. The camera takes continuous images of the fish, analyzing them in real time, providing farmers with a comprehensive view of their fish population, unlike traditional methods that only allow for a limited view of the top five percent of the pen. Aquabyte's AI models generate three crucial types of information: 👉 𝐅𝐢𝐬𝐡 𝐰𝐞𝐥𝐟𝐚𝐫𝐞: This includes sea lice counts, which are essential for maintaining the health of the fish and complying with government regulations. 👉 𝐏𝐞𝐥𝐥𝐞𝐭 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧: This helps farmers understand the percentage of feed that sinks to the ocean floor uneaten, leading to significant cost savings and reduced environmental impact. 👉 𝐅𝐢𝐬𝐡 𝐛𝐢𝐨𝐦𝐚𝐬𝐬: By analyzing the distribution of fish in each pen by weight and volume, farmers can make informed decisions about when to harvest and project their revenues. Did you know that aquaculture is the fastest-growing food production sector In the world? 🐟 Over 60% of all seafood will come from Aquaculture by 2030 according to the World Bank. 🐟 Since 2001, the 𝐠𝐫𝐨𝐰𝐭𝐡 rate of cultured aquatic animals has averaged 𝟓.𝟑% annually, with certain countries, particularly Indonesia and Bangladesh, surpassing 9% annual growth. (compared to a 2.8% growth rate for terrestrially farmed meat) The future of food sustainability is undoubtedly intertwined with the role of AI, and Aquabyte is leading the charge in revolutionizing the aquaculture industry. By harnessing the power of ML, Aquabyte is not only improving the efficiency and sustainability of fish farming but also contributing to a healthier and more environmentally friendly global food system.👇 ******************************************** • Please 𝐋𝐢𝐤𝐞, 𝐒𝐡𝐚𝐫𝐞, 𝐅𝐨𝐥𝐥𝐨𝐰 • Ring the 🔔 for notifications.