transportation, the size and physical condition of the fish, temperature, and the loading density. However, the water physicochemical parameters are some of the most critical factors [5], [6]. During transport, significant changes in water quality may occur and adversely affect numerous aspects of the fish’s respiratory system, physiological stress, and generates osmoregulatory disturbances in fish [3], [7]. Thus, maintaining proper water quality during transport is a vital component in reducing physiological stress of fish [3]. The acceptable water-quality parameters are different for each kind of fish, and might even differ within a species depending on life stage, health and previous holding conditions [3]. For example, each type of fish has a dissolved oxygen suffocation point, and water temperature and pH survival ranges [8]. Thus, values out their survival ranges for extended periods may cause massive fish dead. The transport vehicles require reliable water-quality monitoring and control systems to maintain proper water quality during transport. However, they frequently lack this monitoring facilities. Usually, water-quality experts travel in the transport vehicles to (> 4 h) monitor periodically the water-quality parameters and to determine if any of them is out of range. However, this method has some disadvantages, such as high dependency on human resources, low survival rates, and high transportation cost. Thus, the objective of our study is to develop a mobile platform that helps to real-time and remotely monitor the water quality of live fish transport containers installed in transport vehicles. On this basis, we set the following research question:
• Which are the main challenges of building a mobile platform for real-time remote monitoring of water quality in live fish transport containers, in the context of a real aquaculture company?
To answer this question, we conducted a case study in an aquaculture company that uses trucks equipped with water containers to transport live fish over extended periods of time. From the information obtained during this case study, we designed and implemented a platform that have two main components: the Mobile Remote Monitoring Platform (MRMP) and the Central Monitoring Platform (CMP). The MRMP automatically capture, share, and real-time visual
transportation, the size and physical condition of the fish, temperature, and the loading density. However, the water physicochemical parameters are some of the most critical factors [5], [6]. During transport, significant changes in water quality may occur and adversely affect numerous aspects of the fish’s respiratory system, physiological stress, and generates osmoregulatory disturbances in fish [3], [7]. Thus, maintaining proper water quality during transport is a vital component in reducing physiological stress of fish [3]. The acceptable water-quality parameters are different for each kind of fish, and might even differ within a species depending on life stage, health and previous holding conditions [3]. For example, each type of fish has a dissolved oxygen suffocation point, and water temperature and pH survival ranges [8]. Thus, values out their survival ranges for extended periods may cause massive fish dead. The transport vehicles require reliable water-quality monitoring and control systems to maintain proper water quality during transport. However, they frequently lack this monitoring facilities. Usually, water-quality experts travel in the transport vehicles to (> 4 h) monitor periodically the water-quality parameters and to determine if any of them is out of range. However, this method has some disadvantages, such as high dependency on human resources, low survival rates, and high transportation cost. Thus, the objective of our study is to develop a mobile platform that helps to real-time and remotely monitor the water quality of live fish transport containers installed in transport vehicles. On this basis, we set the following research question: • Which are the main challenges of building a mobile platform for real-time remote monitoring of water quality in live fish transport containers, in the context of a real aquaculture company? To answer this question, we conducted a case study in an aquaculture company that uses trucks equipped with water containers to transport live fish over extended periods of time. From the information obtained during this case study, we designed and implemented a platform that have two main components: the Mobile Remote Monitoring Platform (MRMP) and the Central Monitoring Platform (CMP). The MRMP automatically capture, share, and real-time visual
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