Aquaculture - Robot Bangla

The global market for aquaculture is expected to experience significant growth over the next several years, with an estimated market size of $180.9 billion in 2020 and a projected size of $245.2 billion by 2027. This growth is driven by an increasing demand for fish and other aquatic products, as well as the need to improve efficiency and sustainability in fish farming operations.

Robot Bangla provides artificial intelligence-driven solutions for the fish farming industry. Our solutions are designed to help fish farmers improve the efficiency and sustainability of their operations through real-time monitoring, decision management, and data processing. Our current research includes a wide range of applications, such as fish counting, behavior monitoring, fillet defect detection, shrimp disease research, pearl classification, scallop counting, coral species classification, jellyfish detection, aquatic macroinvertebrates classification, phytoplankton classification, red tide biomass prediction, dissolved oxygen content prediction, chlorophyll-a content prediction, temperature prediction, marine floating raft aquaculture monitoring, and obstacle avoidance in underwater environments.

Using machine learning and deep learning techniques, we are able to analyze fish behavior, assess fish biological information, identify and classify different species of fish, and diagnose fish diseases. We also have experience in developing embedded systems for fish farming applications and are able to provide analysis of water quality and identify dead fish. By combining our expertise in artificial intelligence and fish farming, we are able to help our clients improve the efficiency and sustainability of their operations and achieve better results.