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AI-Powered Fish Farm Monitoring for Stress Reduction and Health Analysis
#Deeplearning, #ML/AI
CHALLENGE
The main task was to reduce the stress level of the fish so that instead of pulling the fish out, weighing it, and inspecting it, the employee could simply take a photo with a special light, and the application analyzed the data by appearance. An analysis of the condition helps to determine whether the weight is normal, whether it is worth changing the diet, and in what condition the scales, fins, etc.
CLIENT
Germany's multicultural, innovation-driven agri-tech company.
TECHNOLOGY
Machine learning (DT, Random Forest, XG Boost, Ada Boost, KNN, Naive Bayes, Support Vector Machine, K-Means, PCA), Deep Learning (CNN, RNN, LSTM, GRU, Transfer Learning, YOLO, R-CNN, FasterR-CNN, Image Processing), Python, iOS, Android.
TEAM
Dedicated team with expertise in native and cross-platform mobile app development and deep knowledge of machine learning and artificial intelligence.
INDUSTRY
Agri-tech
SOLUTION
AI-based fish farm monitoring software works via an underwater camera. Keeping track of the whole tank’s data helps achieve the optimal growth strategy while ensuring a healthier fish population.
IMPACT
By empowering better, more precise decision-making, digital assistants improve overall production stability, enhance efficiency, and enable you to control the farm to suit your growth plan.
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Muteki Group is a full-cycle software development company that has successfully completed 100+ AI projects for startups and enterprises since 2015. Our 80+ member team covers everything from the discovery phase to support. We are located in Ukraine, Poland, Estonia, Japan, Canada, UAE, and the USA.
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