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Instant Health and Plankton pond-side Diagnostics Powered by AI

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Shrimp analysed for health status across 5 pathogens
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analyzed
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Faster results compared to traditional methods
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Cost saving per test, helping you test more

INTRODUCING!

AquaSense Diagnostic Tool

Transform your traditional shrimp farming with AquaSense.
Say goodbye to slow, manual diagnostics and unreliable results. AquaSense automates health and water quality analysis, delivering faster, accurate insights to predict, mitigate, and manage risks—empowering you to act with confidence.

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Introducing AquaSense: AI Solutions for Proactive Aquaculture Management

AquaSense is here with AquaSense Plankton, for automated plankton analysis, and AquaSense Health, for comprehensive shrimp health assessments. Eliminate the slow and tedious traditional process with advanced AI technology developed by aquaculture experts–allowing you to proactively manage water quality and shrimp health, reducing risks and enhancing yields.

Our Solutions

AquaSense Plankton

Precisely identify, count, and analyze plankton in your water samples. Gain actionable insights and predictive analytics to make smarter, optimized decisions for your pond health.

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AquaSense Plankton​

AquaSense Plankton is built to bring precision to plankton analysis. Using state-of-the-art computer vision, it can identify, count, and analyze plankton directly from water samples viewed under a microscope. This provides critical insights into the abundance and types of plankton present in your water, helping you maintain optimal water quality

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How It Works​

Simply place a water sample under a microscope, and AquaSense Plankton will automatically identify and categorize different types of plankton using AI. The system counts their numbers, analyzes their distribution, and generates reports, making it easier for you to track water quality over time

Benefits​

  • Accurate Plankton Identification: Reduce the risk of human error with automated recognition
  • Time-Saving: Cut down on hours of manual counting
  • Actionable Insights: Get detailed data on plankton diversity and abundance for better water quality management

Coming Soon

AquaSense Health

The industry’s first early warning system for shrimp health. Detect stress or infection up to 20 days earlier by analyzing critical indicators like chromatophore, tubules, and white spots. Act sooner to protect your harvest and maximize yields.

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AquaSense Health​

AquaSense Health focuses on shrimp health, using computer vision to analyze shrimp characteristics and identify key indicators of health. It looks at parameters like chromatophore, tubulus, and the presence of white spots to give a comprehensive assessment of shrimp wellbeing

Coming Soon

How It Works​

Using images of shrimp taken under controlled conditions, AquaSense Health’s AI analyzes various indicators like chromatophore color changes, tubulus structure, and signs of white spot syndrome. The system processes this information to provide a detailed health report, helping you make informed decisions about treatments needed in your farm

Benefits​

  • Early Detection: Identify health issues before they become widespread
  • Improved Accuracy: Minimize human subjectivity with AI-driven diagnostics
  • Enhanced Decision-Making: Get clear recommendations for maintaining shrimp health and optimizing yield

Latest Product

AquaSense Plankton

AquaSense Plankton uses advanced computer vision to precisely identify, count, and analyze plankton from water samples, providing essential insights for optimal water quality

View Details
Play Video

AquaSense Plankton​

AquaSense Plankton is built to bring precision to plankton analysis. Using state-of-the-art computer vision, it can identify, count, and analyze plankton directly from water samples viewed under a microscope. This provides critical insights into the abundance and types of plankton present in your water, helping you maintain optimal water quality

Contact Us

How It Works​

Simply place a water sample under a microscope, and AquaSense Plankton will automatically identify and categorize different types of plankton using AI. The system counts their numbers, analyzes their distribution, and generates reports, making it easier for you to track water quality over time

Benefits​

  • Accurate Plankton Identification: Reduce the risk of human error with automated recognition
  • Time-Saving: Cut down on hours of manual counting
  • Actionable Insights: Get detailed data on plankton diversity and abundance for better water quality management

Latest Product

Annotation Research Partner

Our Annotation Research Partner service offers full support for developing computer vision models requiring extensive data annotation

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Annotation Research Partner

Our Annotation Research Partner service offers comprehensive support for developing computer vision models with extensive data annotation, guiding clients through the model-building process to deliver custom algorithms tailored to specific applications, including regional adaptations

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How It Works​

We align on project goals, use our tools for precise data annotation, and support model development—delivering a tailored, ready-to-use computer vision model suited to specific needs, like identifying regional plankton species

Benefits​

  • Region-Specific Adaptability: Tailored models that meet unique environmental or regional needs, making them adaptable to diverse applications
  • Scalable Data Annotation: Quickly annotate large datasets with accuracy and efficiency, supported by specialized tools and a trained team
  • Expert Model-Building Assistance: Our support goes beyond annotation to include model-building guidance, ensuring a robust final product

Coming Soon

AquaSense Health

AquaSense Health uses computer vision to assess shrimp health by analyzing key indicators like chromatophore, tubulus, and white spots for a comprehensive wellbeing report

View Details
Play Video

AquaSense Health​

AquaSense Health focuses on shrimp health, using computer vision to analyze shrimp characteristics and identify key indicators of health. It looks at parameters like chromatophore, tubulus, and the presence of white spots to give a comprehensive assessment of shrimp wellbeing

Coming Soon

How It Works​

Using images of shrimp taken under controlled conditions, AquaSense Health’s AI analyzes various indicators like chromatophore color changes, tubulus structure, and signs of white spot syndrome. The system processes this information to provide a detailed health report, helping you make informed decisions about treatments needed in your farm

Benefits​

  • Early Detection: Identify health issues before they become widespread
  • Improved Accuracy: Minimize human subjectivity with AI-driven diagnostics
  • Enhanced Decision-Making: Get clear recommendations for maintaining shrimp health and optimizing yield
Play Video

Why Use AquaSense for
Shrimp Health and Plankton Analysis

20 days early warning

For health and stress insights. Use PCR effectively, act decisively to protect and secure your harvest.

Precision Aquaculture

Move beyond guesswork. Accurate, actionable data for smarter, fast decisions. Unlock the future of farming.

30% better survival

Proven results: our farms improved SR on average 22% by acting earlier to prevent losses.

User-friendly

Plug and play: Seamless integration with your existing processes. Minimal training required. Fast and easy to share data.

Get Accurate Diagnostics in One Click with AquaSense, A Cost-Effective AI Technology.

Contact Us

Future Vision: What’s Next from AquaSense?

Join us to innovate smarter, AI-driven solutions

January 2025

Launch AquaSense Plankton & Deep Plankton Analytics Module

April 2025

Launch of AquaSense Health Monitoring Covering at Least Six Critical Health Parameters: Begin Disease Prediction Analysis

January 2025

Launch AquaSense Plankton & Deep Plankton Analytics Module

January 2025

Launch of AquaSense Health Monitoring Covering at Least Six Critical Health Parameters: Begin Disease Prediction Analysis

April 2025

1. AquaSense Health Launch: Monitoring with Five Critical Health Parameters

2. Disease Prediction Analysis

October 2025

Treatments and Solutions to the Problem and Opportunities Quantified by AquaSense

July 2025

Many More Plankton Genus Added and Launch of Health Diagnostics: AI-Driven Predictive Management

January 2025

Regional Pilots and Feature Expansion

March 2025

Real-Time Insights and Mobile Integration

May 2025

Predictive Analytics and Global Expansion

See How We Turn Challenges Into Innovations

Tips

Tips to Minimize the Environmental Impact of Shrimp Farming

Shrimp farming is a crucial sector in the global economy, but unsustainable practices can have...
Read More
TipsWater Quality

Effective Strategies for Controlling Ammonia in Vannamei Shrimp Ponds

Source: DELOS Documentation Controlling ammonia in Vannamei shrimp ponds has become one of the...
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AquacultureTips

Types of Vannamei Shrimp Feeds to Make Your Shrimp Grow Faster

Vannamei shrimp feed is one of the important things that must be considered in shrimp farming....
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AquacultureTips

This is the Process of Molting in Shrimp and How to Handle It

Molting in shrimp is replacing the old shell with a new one which always occurs in every...
Read More
AquacultureTips

These are 7 Tips for Successful and Profitable Vannamei Shrimp Harvest

A successful vannamei shrimp harvest is what all farmers dream of. Because, with a successful...
Read More
TipsWater Quality

How to Maintain the Water Quality for Vannamei Shrimp Ponds to Stay Optimal

Ponds are artificial ecosystems where vannamei shrimp grow until they are ready to be...
Read More

Case Study

Improving Plankton Management and Awareness

On our DELOS farms, we struggled with vibrio spikes and nutrient increases caused by plankton crashes. These crashes created more stressful production conditions. During cycle preparation, building the microbiome and plankton population quickly and consistently has been challenging.

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Improving Plankton Management and Awareness

Slow Process to Identify Plankton Problems

On our DELOS farms, we struggled with vibrio spikes and nutrient increases caused by plankton crashes. These crashes created more stressful production conditions. During cycle preparation, building the microbiome and plankton population quickly and consistently has been challenging.

Our team interprets the water colour to understand the plankton health. However, this approach varied across teams and often led to inconsistent outcomes. We found plankton crashes were common, with blue green algae often becoming a problem. Measuring only twice a week using traditional methods caused us to miss key signs of potential issues that could occur and we couldn’t link our inputs to how plankton populations were changing.

Reliable AI-powered Tool for Faster Analysis

AquaSense Plankton revolutionized the situation on our farm, allowing our team to access reliable and actionable insights immediately. The AI-powered diagnostic tool is twice more accurate than our lab teams, and delivers results in seconds. This enables any team member on our farm to analyze each pond daily in just minutes, a task that previously took 10 hours before AquaSense.

The analytics reports provide data on plankton density, community diversity, and toxicity. Alerts keep our farm teams informed of any concerning changes, so we can take immediate action.

The Result of AquaSense Plankton on Farms

  • Fewer Severe Plankton Crashes: Major crashes decreased by 30% per production cycle in farms using AquaSense.
  • Complete Event Detection: Daily monitoring captured 100% of critical phytoplankton changes, ensuring no threats went unnoticed.
  • Increased Data Trust: Automated data eliminates human error and boosts team confidence to trust the insights. When re-testing was needed, results were ready in seconds.
  • Faster Interventions: Decisions can be made within minutes instead of days, as data analysis and sharing are nearly instantaneous, enabling the team to act with a full understanding of pond conditions.

Cutting-edge Solution for Farm

AquaSense Plankton turned our pond management approach from reactive to proactive. With a continuous feedback loop, our teams make precise, informed decisions daily, significantly improving farm productivity.

Case Study

Pathogen Detected 20 Days Early with 70% Cost Reduction in PCR Cost

We did not know our shrimp were infected until we saw feeding changes or mortality. To combat this, we adopted an intensive early detection approach using PCR testing. While this improved our ability to identify pathogens earlier and enhanced survival rates, the escalating costs became a major concern.

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Pathogen Detected 20 Days Early with 70% Cost Reduction in PCR Cost

Limited Diagnose and High Cost of PCR Test

We did not know our shrimp were infected until we saw feeding changes or mortality. To combat this, we adopted an intensive early detection approach using PCR testing. While this improved our ability to identify pathogens earlier and enhanced survival rates, the escalating costs became a major concern.

Additionally, we found that most infections involved multiple pathogens, but many PCR providers were unable to diagnose all pathogens present, further complicating the process.

Daily Health Report with AI-powered Tools

AquaSense Health helped us by replacing the long time PCR checks every 20 days with daily health report on every pond, whenever the team needed it. The AI system puts clinical expertise into the hands of every team member, enabling them to make optimized decisions and focus their time and energy where they are most impactful.

The system identifies early indicators of disease, such as abnormalities in the hepatopancreas, muscle necrosis, hemocyte count to show stress levels, and gut condition. By flagging high-risk cases, AquaSense helped prioritize PCR testing to accurately diagnose the cause, up to 20 days earlier than before.

The Result of AquaSense Health on Farms

  • 70% Cost Savings: We use the right PCR test at the right time, significantly improving cost efficiency.
  • Improved Survival Rates: Early warning alerts our team to take proactive measures, increasing shrimp survival rate, and enabling earlier harvests.
  • Instant Health Data: Continuous health monitoring provided actionable insights without delay.

Empowering Farm with AquaSense Health

AquaSense Health not only revolutionized pathogen detection but also empowered our farm team at DELOS to act earlier and smarter. With improved efficiency and significant cost savings, we’ve built a more resilient and productive farming operation.

Case Study

Plankton Monitoring Made Effective with AquaSense

At DELOS farms, the impact of treatments like probiotics, carbon or liming additives on water quality and phytoplankton balance were often unclear. The impacts were hidden by other day-to-day fluctuations and making it difficult to asses. Moreover, the traditional methods provided feedback in days or weeks, delaying decisions and ultimately reducing the performance of our farms.

Read More

Pivotal Roles of Phytoplankton Community in Aquaculture Sustainability

Phytoplankton plays significant roles in aquaculture ecosystems, primarily as a water quality conditioner, as a live food, and as a microbial community balancer. The combination of these three roles of phytoplankton can tell the health level of aquatic ecosystem. Studies have shown that phytoplankton have some significant effects on shaping beneficial microbial communities that modulates stable and good water quality profiles as well as controlling the abundance and virulence of opportunistic and/or pathogenic microorganisms.

We Monitor Phytoplankton Dynamic as a Metrics of Ecosystem Health

Fig. 1 Plankton composition in Delos shrimp ponds with low (A3 and B3) and high mortality (C1 and C2)

Studies have demonstrated that phytoplankton play a vital role in aquaculture, closely linked to the growth, survival, and health of cultured organisms. We monitor our shrimp ponds and see changes in phytoplankton abundance and diversity often reflect water quality issues and can lead to growth delays, mortality events, and ecosystem imbalances (Fig 1). They serve as both indicators of environmental changes and regulators of water profiles. For instance, cyanobacteria dominance signals nitrogen-phosphorus imbalances, while high phytoplankton abundance can cause oxygen fluctuations.

Beneficial groups like green algae and diatoms improve water quality, whereas harmful ones like cyanobacteria and dinoflagellates produce toxins, disrupting aquaculture stability. Community shifts in phytoplankton correlate with abiotic and biotic factors like dissolved oxygen, pH, and bacterial composition, often leading to disease outbreaks. Certain species, such as Coscinodiscus blandus, act as biomarkers for cultivation risks.

This only prove that continuous monitoring of phytoplankton is essential to ensure aquaculture sustainability, as it helps mitigate risks to organisms and product safety.

Solutions for Phytoplankton Identification Based on Direct Experience in the Field

Fig 2. Aquasense plankton, an AI-based automated plankton identification and counting

Phytoplankton identification is traditionally performed using light microscopy and morphological methods. There are also advanced techniques like DNA barcoding and metagenomic analysis. However, this method is limited by high costs and long processing times. This process requires skilled analysts and is labor-intensive, making routine monitoring challenging, particularly in aquaculture. Manual counting and classification are time-consuming, subjective, and prone to errors, with expert assessments achieving less than 75% recall and significant variability between analysts. Automating identification and counting is critical to improving the accuracy and reliability of phytoplankton monitoring.

With years of experience and development in assessing phytoplankton directly on our shrimp farm, we created a cutting edge AI technology, transforming the traditional processes into solutions in one click. Our own experience in identifying water quality drove us to help the aquaculture industry. Eliminate the hassle, long-waiting outcome that prone to errors.  We have used and tested this breakthrough and proven to fasten the process of identifying water ecosystems, allowing us to take proactive steps in taking care our farms. Are you ready for the new solution for identifying your water quality? AquaSense Plankton is finally here.

Reference

Lyu, T., Yang, W., Cai, H., Wang, J., Zheng, Z. and Zhu, J., 2021. Phytoplankton community dynamics as a metrics of shrimp healthy farming under intensive cultivation. Aquaculture Reports, 21, p.100965.

Rivas-Villar, D., Rouco, J., Carballeira, R., Penedo, M.G. and Novo, J., 2021. Fully automatic detection and classification of phytoplankton specimens in digital microscopy images. Computer Methods and Programs in Biomedicine, 200, p.105923.

Yang, W., Zhu, J., Zheng, C., Lukwambe, B., Nicholaus, R., Lu, K. and Zheng, Z., 2020. Succession of phytoplankton community during intensive shrimp (Litopenaeus vannamei) cultivation and its effects on cultivation systems. Aquaculture, 520, p.734733.

Ekasari, J., Utari, H.B., Vinasyiam, A. and Mubarak, A.S., 2024. Relationship Between The Dynamics of Plankton Community Abundance, Total Organic Matter, and Salinity in Intensive Shrimp Farming Systems. Journal of Aquaculture & Fish Health, 13(2).

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    Frequently Asked Question

    What is AquaSense Plankton?

    Aquasense-Phytoplankton is a specialized tool designed to measure and monitor plankton density and community in aquatic environments, specifically focusing on phytoplankton populations. It provides users with real-time data on plankton counts, allowing for effective monitoring of water quality and aquatic ecosystem health.

    How does Aquasense-Phytoplankton work?

    Aquasense-Phytoplankton works by collecting water samples and analyzing the plankton count and composition using Artificial Intelligence image recognition. The application processes this data and provides an accurate count of the plankton density, which can be used to evaluate the health of the aquatic ecosystem or for other scientific research purposes.

    What type of plankton can be measured using Aquasense- Phytoplankton?

    Aquasense-Phytoplankton is designed primarily to measure phytoplankton—the microscopic plants in the water. This includes a variety of different taxonomic groups including cyanobacteria, diatoms, chlorophyta (green algae), dinophyta (dinoflagellates). However, in analysis, also count some common zooplankton. It can also be used to track their density and composition in various aquatic environments.

    What is a step-by-step procedure to analyze a sample using Aquasense- Phytoplankton?

    First, you should collect the sample. After the sample is preserved using reagen preservation, you then drop the sample to a haemocytometer. The sample is observed under a microscope using 400x magnification. Then you will select the area of the grid haemocytometer and capture the image area selected. Aquasense-Phytoplankton will automatically identify and count the phytoplankton. You can download the data from the download button.

    How do I take a plankton sample for analysis?

    To collect a sample for analysis with Aquasense-Phytoplankton, you can use a plankton net or directly collect water from the desired area of the pond or aquatic environment. Once you have your sample, transfer it to the analysis system following the instructions in the application, and Aquasense will process the sample to determine identify the plankton composition and calculate its density

    What is equipment to count plankton density?

    To count the plankton density, you will need to use a haemocytometer. A hemocytometer is a specialized glass slide with a precise grid pattern used to count microscopic organisms like phytoplankton. In phytoplankton analysis, it helps determine the concentration and abundance of cells in a water sample.

    How do I prepare a phytoplankton sample for counting with a hemocytometer?

    To prepare, first mix the phytoplankton sample thoroughly to evenly distribute the cells. Using a pipette, draw a small volume and carefully place it onto the grid area of the hemocytometer without creating bubbles. Allow any cells to settle before beginning the count.

    What magnification is ideal for counting phytoplankton on a hemocytometer?

    For most phytoplankton species, a magnification of 100x–400x is appropriate. Smaller or less abundant phytoplankton may require higher magnification for accurate counting. However, for this application, you have to set a magnification 400x

    Is it necessary to use stains when counting phytoplankton with a hemocytometer?

    For this application, you do not need to stain the phytoplankton sample. The fresh sample will help the AI model to recognize the phytoplankton accurately.

    Do I need to preserve my sample?

    Yes, you need to preserve your sample before observation for accurate counting. Preservation will stop the plankton moving and make them distribute evenly. For preservation methods you need to read a manual book for this application.

    How often should I monitor plankton levels?

    The frequency of monitoring depends on your specific needs. For aquaculture environments, it’s recommended to monitor plankton density regularly, such as once a day or a week depending on environmental conditions. Frequent monitoring helps detect early changes in water quality that can affect aquaculture production.

    How do I interpret the results?

    After the sample is processed, Aquasense-Phytoplankton reports the plankton density in cells/mL. Higher or lower densities indicate the condition of the aquatic environment, such as nutrient imbalances. Then the nutrient imbalances will affect the community composition (diversity and dominance). This report will help users to make decisions in treating the aquatic environment. Refer to the user manual or consult a specialist for more detailed interpretation based on specific applications.

    How do I calibrate the Aquasense-Phytoplankton device?

    Calibration of the Aquasense-Phytoplankton device is necessary to ensure accurate results. The calibration process is usually done using known concentrations of plankton in controlled conditions. Please refer to the calibration section in the application’s user guide for detailed instructions on how to calibrate your device.

    What should I do if the results are inconsistent or inaccurate?

    If you experience inconsistent or inaccurate results, ensure that the plankton sample is properly collected and handled. Additionally, check the calibration of the device and make sure that it’s clean and functioning properly. If issues persist, you can contact customer support or refer to troubleshooting guides in the user manual.

    How can I export or save the data from Aquasense-Phytoplankton?

    Aquasense-Phytoplankton allows you to export your data in various formats, such as M.excel CSV or PDF. You can save the results directly to your device or cloud storage, and easily share the data for further analysis or reporting.

    What are the main types of analysis conducted on phytoplankton data in Aquasense-Phytoplankton?

    Key analyses include, plankton abundance, species composition, diversity index, dominance index, biomass and biovolume estimation, nitrogen biomass potential, plankton toxicity, and temporal community changes.

    Is Aquasense-Phytoplankton suitable for use in large-scale aquaculture operations?

    Yes, Aquasense-Phytoplankton is ideal for both small-scale and large-scale aquaculture operations. It provides accurate and reliable plankton density data, helping aquaculture managers optimize water quality and plankton-based food sources for cultured species.

    Where can I get support for using Aquasense-Phytoplankton?

    For technical support or inquiries, you can visit the Aquasense-Phytoplankton support page, contact customer service via email, or refer to the FAQ section and user manual within the application for troubleshooting and guidance.

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