Design and Deployment of Low-Cost Sensors for Monitoring the Water Quality and Fish Behavior in Aquaculture Tanks during the Feeding Process

Parra, Lorena; Sendra, Sandra; García, Laura; Lloret, Jaime

doi:10.3390/s18030750

Cited by 125 publications

(67 citation statements)

References 34 publications

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“…In their system, they have integrated the commercial YCS-2000 DO sensor, pH electrode, Pt1000 temperature sensor, and ammonia nitrogen sensor. Not only for water quality monitoring, Parra et al [26] proposed a WSN for monitoring the water quality and fish behavior in aquaculture tanks during the feeding process ( Figure 2). The system is composed of three sensor nodes in each tank that send the information though the local area network to a database on the Internet.…”

Section: Wirelessmentioning

confidence: 99%

Sensors, Biosensors, and Analytical Technologies for Aquaculture Water Quality

Sutarlie

Loh

2020

Research

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In aquaculture industry, fish, shellfish, and aquatic plants are cultivated in fresh, salt, or brackish waters. The increasing demand of aquatic products has stimulated the rapid growth of aquaculture industries. How to effectively monitor and control water quality is one of the key concerns for aquaculture industry to ensure high productivity and high quality. There are four major categories of water quality concerns that affect aquaculture cultivations, namely, (1) physical parameters, e.g., pH, temperature, dissolved oxygen, and salinity, (2) organic contaminants, (3) biochemical hazards, e.g., cyanotoxins, and (4) biological contaminants, i.e., pathogens. While the physical parameters are affected by climate changes, the latter three are considered as environmental factors. In this review, we provide a comprehensive summary of sensors, biosensors, and analytical technologies available for monitoring aquaculture water quality. They include low-cost commercial sensors and sensor network setups for physical parameters. They also include chromatography, mass spectrometry, biochemistry, and molecular methods (e.g., immunoassays and polymerase chain reaction assays), culture-based method, and biophysical technologies (e.g., biosensors and nanosensors) for environmental contamination factors. According to the different levels of sophistication of various analytical techniques and the information they can provide (either fine fingerprint, highly accurate quantification, semiquantification, qualitative detection, or fast screening), we will comment on how they may be used as complementary tools, as well as their potential and gaps toward current demand of real-time, online, and/or onsite detection.

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Section: Wirelessmentioning

confidence: 99%

Sensors, Biosensors, and Analytical Technologies for Aquaculture Water Quality

Sutarlie

Loh

2020

Research

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“…They implemented the Zigbee based protocol standard for communication to the local server. A low-cost WSN for aquaculture monitoring has been proposed in [7]. Here authors analyzed the water parameters, tank state and fish behavior during the feeding process.…”

Section: Related Workmentioning

confidence: 99%

Design and Performance Analysis of Rural Aquaculture Ponds using IoT

Nayak¹,

Mantri²,

Swain³

2019

IJRTE

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Rural aquaculture is mostly based on open pond system. People in rural areas depend on aquaculture not only for food but also for livelihood. These are unmanaged fish ponds and deprived of any technological touches. To increase the livelihood, establishment of managed ponds and use of low cost IoT technology for monitoring fishponds is an important issue. By monitoring water parameters like PH, temperature, Turbidity fish growth can be increased. In this paper we have proposed a multiple fish pond design controlled by single center and wire and wireless mode of data collection. The proposed model is simulated using NetSim to generate network performance matrices. To achieve a prolonged battery life, concept of energy harvesting at sensor node level is introduced in the simulation study

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“…Inland facilities build tanks where the conditions that affect the performance of fish are controlled. Illumination, turbidity, temperature, are salinity are an example of the factors that can influence the behavior of fish and must be monitored [2]. Principally, sustainable aquaculture facilities should not disrupt the ecosystem where they are placed.…”

Section: Introductionmentioning

confidence: 99%

The Use of Sensors for Monitoring the Feeding Process and Adjusting the Feed Supply Velocity in Fish Farms

et al. 2018

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Aquaculture is a growing industry, and its sustainability is crucial. One of its major environmental impacts is the uneaten feed that pollutes the water. To minimize the uneaten feed, many systems have been developed. Nevertheless, current systems can be improved by considering the fish position in the tank and the falling feed. In this paper, we propose a system based on fish presence sensors set at different tank heights and a feed detection sensor located in the drainage tubes. The fish presence sensor is based on light-dependent resistor (LDR). The calibration of these sensors is shown. When the output voltage is higher than 1.467 V, we can consider that fish are present. On the other side, the falling feed sensor is based on a CMOS sensor. The calibration process is performed with 40 pictures. The summation of pixels, with brightness value between 0 and 15 in the blue histogram, is used as an indicator of feed presence. If this value is higher than 520 pixels, we can consider that there is feed in the picture. Moreover, a verification process of both sensors is done. The results of the verification confirm the calibration. Finally, the operation of the system is shown.

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Design and Deployment of Low-Cost Sensors for Monitoring the Water Quality and Fish Behavior in Aquaculture Tanks during the Feeding Process

Cited by 125 publications

References 34 publications

Sensors, Biosensors, and Analytical Technologies for Aquaculture Water Quality

Sensors, Biosensors, and Analytical Technologies for Aquaculture Water Quality

Design and Performance Analysis of Rural Aquaculture Ponds using IoT

The Use of Sensors for Monitoring the Feeding Process and Adjusting the Feed Supply Velocity in Fish Farms

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