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

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ID: 86690
2016
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Abstract
Efficient fish feeding is currently one of biggest challenges in aquaculture to enhance the production of fish quality and quantity. In this review, an information fusion approach was used to integrate multi-sensor and computer vision techniques to make fish feeding more efficient and accurate. Information fusion is a well-known technology that has been used in different fields of artificial intelligence, robotics, image processing, computer vision, sensors and wireless sensor networks. Information fusion in aquaculture is a growing field of research that is used to enhance the performance of an industrialized ecosystem. This review study surveys different fish feeding systems using multi-sensor data fusion, computer vision technology, and different food intake models. In addition, different fish behavior monitoring techniques are discussed, and the parameters of water, pH, dissolved oxygen, turbidity, temperature etc., necessary for the fish feeding process, are examined. Moreover, the different waste management and fish disease diagnosis techniques using different technologies, expert systems and modeling are also reviewed.
Reference Key
li2016informationfrontiers Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors LI, Shahbaz Gul HASSAN,Murtaza HASAN,Daoliang;
Journal frontiers of agricultural science and engineering
Year 2016
DOI
DOI not found
URL
http://academic.hep.com.cn/fase/fileup/2095-7505/PDF/1472708817741-96634589.pdf
Keywords
Engineering (General). Civil engineering (General) Technology Agriculture (General) economics as a science nutrition. foods and food supply nutritional diseases. deficiency diseases plant culture applied optics. photonics

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