Automatic System for Zebrafish Counting in Fish Facility Tanks

Silvério, Francisco J.; Certal, Ana C.; Ferro, Carlos Mão de; Monteiro, Joana F.; Cruz, José Almeida; Ribeiro, Ricardo Pereira; Silva, João Nuno

doi:10.1007/978-3-319-41501-7_86

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…Modification of the tanks shapes for an easy docking of the semi-automatic feeder could significantly reduce the total feeding time. Another line of research could be to embed a system to automatically count fish in each tank with an embedded camera—for instance, following the work of Silvério et al 18 That would remove the maintainance of NFC tags on the tanks, but certainly requires an in-depth change of the current design and extensive testing.…”

Section: Discussionmentioning

confidence: 99%

A Semi-Automatic Dispenser for Solid and Liquid Food in Aquatic Facilities

et al. 2019

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We present a novel, low-footprint and low-cost semi-automatic system for delivering solid and liquid food to zebrafish, and more generally to aquatic animals raised in racks of tanks. It is composed of a portable main module equipped with a contactless reader that adjusts the quantity to deliver for each tank, and either a solid food module or a liquid food module. Solid food comprises virtually any kind of dry powder or grains below 2 mm in diameter, and, for liquid-mediated food, brine shrimps ( Artemia salina ) and rotifers ( Rotifera ) have been successfully tested. Real-world testing, feedback, and validation have been performed in a zebrafish facility for several months. In comparison with manual feeding this system mitigates the appearance of musculoskeletal disorders among regularly-feeding staff, and let operators observe the animals' behavior instead of being focused on quantities to deliver. We also tested the accuracy of both humans and our dispenser and found that the semi-automatic system is much more reliable, with respectively 7-fold and 84-fold drops in standard deviation for solid and liquid food.

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Section: Discussionmentioning

confidence: 99%

A Semi-Automatic Dispenser for Solid and Liquid Food in Aquatic Facilities

et al. 2019

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“…It is difficult to segment objects encountering adhesion or overlapping objects, which are prone to cause overestimate or underestimate. The ratio of area method was used to estimate the number of objects contained in a blob by the average pixels occupied by a single fish (Francisco et al, 2016;Labuguen et al, 2012). But the method is only effective for object touching, which is not valid for objects overlapping.…”

Section: Segmentation-based Methodsmentioning

confidence: 99%

Automatic counting methods in aquaculture: A review

Miao

Peng

et al. 2020

J World Aquaculture Soc

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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.

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A combination of IoT and cloud application for automatic shrimp counting

Yeh

Chen

2019

Microsyst Technol

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Automatic System for Zebrafish Counting in Fish Facility Tanks

Cited by 5 publications

References 9 publications

A Semi-Automatic Dispenser for Solid and Liquid Food in Aquatic Facilities

A Semi-Automatic Dispenser for Solid and Liquid Food in Aquatic Facilities

Automatic counting methods in aquaculture: A review

A combination of IoT and cloud application for automatic shrimp counting

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