We are excited to announce the successful completion of our pilot testing phase at Swansea University’s Centre for Sustainable Aquatic Research (CSAR). This valuable collaboration has provided us with essential real-world data that is now being used to enhance AIquaBoost’s AI models and application features.
Real-World Impact
Working alongside CSAR’s aquaculture experts, we’ve gathered authentic hatchery data that directly reflects the day-to-day challenges and needs of the aquaculture industry. This hands-on experience has been invaluable in refining our understanding of practical hatchery management requirements.
Model Improvements
The collected data is currently being integrated into our AI models, allowing us to:
- Fine-tune egg health detection accuracy
- Enhance water quality monitoring parameters
- Improve early warning systems
- Optimize our mobile application interface based on user feedback
Looking Forward
We are now implementing these insights to make AIquaBoost more responsive to the practical needs of aquaculture facilities. Our team is working diligently to incorporate these improvements into our next application update.
We extend our appreciation to the Swansea University CSAR team for their collaboration in this crucial phase of AIquaBoost’s development. Their expertise has been instrumental in helping us create a more effective solution for the aquaculture industry.
Stay connected for updates as we continue to enhance our technology with these valuable insights from real-world aquaculture operations.