# Aquasafe: A Remote Sensing, Web-Based Platform for the Support of Precision Fish Farming
## 5 Conclusions  
In conclusion, we have utilized a combination of satellite technology and _in-situ_ data to address the needs of the aquaculture industry. By analyzing the parameters that affect aquaculture processes, we were able to utilize remote sensing technology to estimate their values. Furthermore, by identifying appropriate indicators, we were able to develop a system that alerts managers and producers to take necessary precautionary actions. The system's performance was rigorously evaluated through the use of three real-life case studies. The Aquasafe web-based platform has been shown to be a valuable tool for monitoring and managing aquaculture operations. Firstly, its user-friendly interface allows even inexperienced users to easily access and navigate the information provided. Secondly, the combination of data from different sources, including satellite, _in-situ_, and meteorological, has allowed for improved spatial and temporal coverage. Additionally, Aquasafe provides information on both the farm and individual cages, as well as the surrounding environment, allowing for more effective monitoring and management. The abovementioned functionalities make Aquasafe a useful tool for aquaculture operations of various scales, including larger offshore farms. However, it is important to note that this is an ongoing process. Continuous efforts of evaluating and testing the platform to incorporate any improvements are expected to make it even more user-friendly and effective for the aquaculture industry. The integration of data derived from UAVs, which have already been widely used in land and sea applications [59; 60; 61; 62], can provide a wealth of data for managing fish farms. By utilizing cameras, sensors, and other instruments, drones can capture high-resolution images and data on various important parameters for fish farm management such as water quality, fish health and behavior, farm infrastructure, and environmental conditions [63; 64; 65; 66]. Finally, incorporating sea surface current data from remote sensing and numerical models can provide valuable information on the direction, speed, and variability of the currents. The current information can help identify areas of high or low current flow, and when combined with other aquaculture-related parameters such as water temperature, dissolved oxygen, and chlorophyll-a, it can improve the accuracy of forecasts and alerts. Additionally, it can help farmers to take appropriate actions, identify the potential risks and benefits of different farm locations, and predict the effects of different management strategies. The current investigation provides a promising framework for the development of a comprehensive and continuous monitoring system for marine aquaculture facilities. However, there are several areas for future research and improvement. One potential avenue is to explore the integration of additional data sources, such as water quality sensors or environmental data from other sources, to further enhance the accuracy and robustness of the monitoring system. Another area of interest is to expand the geographic scope of the investigation to other regions and aquaculture facilities, to determine the applicability and scalability of the proposed approach in different settings. Additionally, future research could explore the integration of advanced analytical methods, such as artificial intelligence or deep learning, to further improve the performance and efficiency of the monitoring system. Overall, the future scope of this investigation is to further advance the development and implementation of innovative technologies for sustainable and efficient management of marine aquaculture facilities. Overall, Aquasafe represents a valuable tool for the aquaculture industry, providing a comprehensive and user-friendly platform for effective farm management and monitoring.