Information fusion in aquaculture: a state-of the art review

Hassan, Shahbaz Gul; Hasan, Murtaza; Li, Bingbing

doi:10.15302/j-fase-2016111

Cited by 15 publications

(7 citation statements)

References 81 publications

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“…According to the threshold value, the variance of each sensor is estimated, and the weighting coefficient of each sensor participating in the fusion is adjusted according to the principle of the minimum square sum of the weighting coefficient to ensure that the mean square error of the fusion data is kept to a minimum (Figure 7). This algorithm does not require sensor measure data information, and the algorithm estimation can theoretically prove the characteristic of linear unbiased minimum variance [21]. Data fusion technology has the advantages of improving the measurement accuracy of target parameters, eliminating the influence of interference, and overcoming its own time drift and aging.…”

Section: Results Analysismentioning

confidence: 99%

Multisensor Information Fusion‐Assisted Intelligent Art Design under Wireless Virtual Reality Environment

Dong

2021

Journal of Sensors

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Under the background of intelligent technologies, art designers need to use information technology to assist the design of art factors and fully realize the integration of art design and information technology. Multisensor information fusion technology can more intuitively and visually carry out a more comprehensive grasp of the objectives to be designed, maximize the positive effects of art design, and achieve its overall optimization and can also help art designers get rid of the traditional monolithic and obsolete design concepts. Based on multisensor information fusion technology under wireless virtual reality environment, principles of signal acquisition and preprocessing, feature extraction, and fusion calculation, to analyze the information processing process of multisensor information fusion, conduct the model construction and performance evaluation for intelligent art design, and propose an intelligent art design model based on multisensor information fusion technology, we discuss the realization of multisensor information fusion algorithm in intelligent art design and finally carry out a simulation experiment and its result analysis by taking the environment design of a parent-child restaurant as an example. The study results show that using multisensor information fusion in the environmental design of parent-child restaurant is better than using a single sensor for that; at the same time, using force sensors has a better environmental design effect than using vibration sensors. The multisensor information fusion technology can automatically analyze the observation information of several sources obtained in time sequence under certain criteria and comprehensively perform information processing for the completion of the decision-making and estimation tasks required for intelligent art design.

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Section: Results Analysismentioning

confidence: 99%

Multisensor Information Fusion‐Assisted Intelligent Art Design under Wireless Virtual Reality Environment

Dong

2021

Journal of Sensors

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“…To characterize and monitor the fish activity based on acoustical measurement [24,25] to measure total scattering of the fish swimming in a tank by multiple recordings of reverberation time series. The accuracy of the technique to measure total scattering has been evaluated using standard metal spheres [26] , and scattering was successfully measured for krill [27,28] , fish, and humans in different environments, from air to seawater and audible to ultrasonic.…”

Section: Experiments Designmentioning

confidence: 99%

Fish as a source of acoustic signal measurement in an aquaculture tank: Acoustic sensor based time frequency analysis

Hassan

Ahmad

Iqbal

et al. 2019

International Journal of Agricultural and Biological Engineering

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Acoustic signals travels rapidly in water without attenuating fish telemetry. The digital sonar and passive acoustic has been used for fish monitoring and fish feeding. However, it is an urgent need to introduce new techniques in order to monitor the growth rate of fish during harvesting and without causing adverse effects to the harvested fish. Therefore, a novel technique was introduced to probe the acoustic signal frequency ratio in absence and presence of the fish in tanks, which basically uses an acoustic sensor (hydrophone), acoustic signal processing system (scope meter), and a signal monitoring system (fluke view). Acoustic signals were selected from 48-52 Hz frequency, measure of dispersion of frequency signal represented as a function of time via Xlstat software. Measure of dispersion displayed a significant effect of acoustic signal in the presence and absence of the fish in tanks. These optimised protocols of this study will help to control and prevent excessive wastage of feed and enhance proper utilization of feed that chiefly enhance fish growth in aquaculture

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“…Recently, there are numbers of researchers creating several techniques to control amount of nutriments given to fishes. Those techniques can be defined as mechanical device controls [8][9][10][11][12][13][14][15][16][17][18], and computer vision approaches [5,[19][20][21][22][23][24][25][26][27][28][29]. Mechanical device control uses external sensor which has different function for monitoring, identifying, and evaluating fish feeding behavior [8][9][10][11].…”

mentioning

confidence: 99%

“…On the other hand, computer vision approach has been commonly used in aquaculture industry because it performs in real-time controlling and low cost for maintainable equipment [27][28][29]. This approach can be useful to classify gender and species, age and size measurement, quantity and quality inspection, counting and monitoring fish behaviors [19,20].…”

mentioning

confidence: 99%

“…However, it is suitable to identity fish behavior, analyzing of infrared imaging is remaining unsolved because object appearance from this imaging is unlike real condition. Beside that, application of detecting fish behavior using visible light gives several problems which only focuses on laboratory culture model [27][28][29]. It shows that the methods applied on laboratory culture model perform worst in real environment because several conditions cannot be anticipated such as flying bird, waste, appearance of fish tank boundary, and other undesirable objects.…”

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Automatic Controlling Fish Feeding Machine using Feature Extraction of Nutriment and Ripple Behavior

Pradana,

Horio

2022

Preprint

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Controlling fish feeding machine is challenging problem because experienced fishermen can adequately control based on assumption. To build robust method for reasonable application, we propose automatic controlling fish feeding machine based on computer vision using combination of counting nutriments and estimating ripple behavior using regression and textural feature, respectively. To count number of nutriments, we apply object detection and tracking methods to acknowledge the nutriments moving to sea surface. Recently, object tracking is active research and challenging problem in computer vision. Unfortunately, the robust tracking method for multiple small objects with dense and complex relationships is unsolved problem in aquaculture field with more appearance creatures. Based on the number of nutriments and ripple behavior, we can control fish feeding machine which consistently performs well in real environment. Proposed method presents the agreement for automatic controlling fish feeding by the activation graphs and textural feature of ripple behavior. Our tracking method can precisely track the nutriments in next frame comparing with other methods. Based on computational time, proposed method reaches 3.86 fps while other methods spend lower than 1.93 fps. Quantitative evaluation can promise that proposed method is valuable for aquaculture fish farm with widely applied to real environment.

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Information fusion in aquaculture: a state-of the art review

Cited by 15 publications

References 81 publications

Multisensor Information Fusion‐Assisted Intelligent Art Design under Wireless Virtual Reality Environment

Multisensor Information Fusion‐Assisted Intelligent Art Design under Wireless Virtual Reality Environment

Fish as a source of acoustic signal measurement in an aquaculture tank: Acoustic sensor based time frequency analysis

Automatic Controlling Fish Feeding Machine using Feature Extraction of Nutriment and Ripple Behavior

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