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Andrialovanirina N., Ponton Dominique, Behivoke F., Mahafina J., Léopold Marc. (2020). A powerful method for measuring fish size of small-scale fishery catches using ImageJ. Fisheries Research, 223, art. 105425 [8 p.]. ISSN 0165-7836

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Lien direct chez l'éditeur doi:10.1016/j.fishres.2019.105425

A powerful method for measuring fish size of small-scale fishery catches using ImageJ
Année de publication2020
Type de documentArticle référencé dans le Web of Science WOS:000509622800003
AuteursAndrialovanirina N., Ponton Dominique, Behivoke F., Mahafina J., Léopold Marc.
SourceFisheries Research, 2020, 223, p. art. 105425 [8 p.]. p. art. 105425 [8 p.] ISSN 0165-7836
RésuméMeasuring fish length is useful for exploring size structure of catches and fishing effects on marine resources. However manually measuring large numbers of individuals requires time-consuming manipulations, which are hardly operational in the context of tropical small-scale fisheries. To overcome this limitation, we developed a method to automatically measure total fish length using digital images and an analytical procedure using the ImageJ software. For testing this procedure, a total of 180 fishes (3 to 50 cm TL) from 19 families, presenting two color patterns and two caudal fin types, were obtained from small-scale fishers in southwestern Madagascar in 2018. We took standardized images of the fishes using a locally made, cost-effective camera-equipped device. The accuracy of fish size estimates and the time taken for measurements were compared across the ImageJ automatic procedure, manual measurements made on-screen using ImageJ, and measurements using an ichthyometer, the latter providing the reference fish length. The ImageJ automatic measurement procedure reached 98.4% accuracy while the measurement time was reduced by 57% and 40% compared to the measures using an ichthyometer and ImageJ on-screen tools, respectively. We conclude that the automatic measurement procedure provides very effective results for fish < 50 cm TL. This method is relevant for governmental, non-governmental, and research organizations that investigate size-related fishing and management impacts on fish community structure and dynamics.
Plan de classementRessources halieutiques [040] ; Informatique [122]
LocalisationFonds IRD [F B010077864]
Identifiant IRDfdi:010077864
Lien permanenthttp://www.documentation.ird.fr/hor/fdi:010077864

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