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Automatic counting methods in aquaculture: A review
Journal of the World Aquaculture Society ( IF 2.3 ) Pub Date : 2020-10-19 , DOI: 10.1111/jwas.12745
Daoliang Li 1, 2, 3, 4, 5 , Zheng Miao 1, 2, 3, 4, 5 , Fang Peng 1, 2, 3, 4, 5 , Liang Wang 1, 2, 3, 4, 5 , Yinfeng Hao 1, 2, 3, 4, 5 , Zhenhu Wang 1, 2, 3, 4, 5 , Tao Chen 6 , Hui Li 6 , Yingying Zheng 7
Affiliation  

Object counting in aquaculture is an important task, and has been widely applied in fish population estimation, estimation of lobster abundance and scallop stocks, and so forth. However, underwater object counting is challenging for biologists and marine scientists because of the diversity of backgrounds of the lake or ocean, the uncertainty of the object motion, and the occlusion between objects. With the rapid development of sensor, computer vision, and acoustic technologies, advanced and efficient counting methods are available in aquaculture. We reviewed underwater object counting methods in aquaculture, provided a survey including more than 50 articles in the recent 10 years, and analyzed the pros and cons of the counting methods and the applicable scenarios of those methods. Finally, the major challenges and future trends of underwater object counting in aquaculture are discussed.

中文翻译:

水产养殖中的自动计数方法:回顾

水产养殖中的对象计数是一项重要的任务,已广泛应用于鱼类种群估算,龙虾丰度和扇贝种群估算等。然而,由于湖泊或海洋背景的多样性,物体运动的不确定性以及物体之间的遮挡,水下物体计数对于生物学家和海洋科学家而言是一个挑战。随着传感器,计算机视觉和声学技术的飞速发展,水产养殖业提供了先进而有效的计数方法。我们回顾了水产养殖中的水下物体计数方法,在最近十年中提供了包括50篇文章的调查,并分析了计数方法的利弊以及这些方法的适用场景。最后,
更新日期:2020-10-19
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