@article{fdi:010077864, title = {{A} powerful method for measuring fish size of small-scale fishery catches using {I}mage{J}}, author = {{A}ndrialovanirina, {N}. and {P}onton, {D}ominique and {B}ehivoke, {F}. and {M}ahafina, {J}. and {L}{\'e}opold, {M}arc}, editor = {}, language = {{ENG}}, abstract = {{M}easuring fish length is useful for exploring size structure of catches and fishing effects on marine resources. {H}owever manually measuring large numbers of individuals requires time-consuming manipulations, which are hardly operational in the context of tropical small-scale fisheries. {T}o overcome this limitation, we developed a method to automatically measure total fish length using digital images and an analytical procedure using the {I}mage{J} software. {F}or 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 {M}adagascar in 2018. {W}e took standardized images of the fishes using a locally made, cost-effective camera-equipped device. {T}he accuracy of fish size estimates and the time taken for measurements were compared across the {I}mage{J} automatic procedure, manual measurements made on-screen using {I}mage{J}, and measurements using an ichthyometer, the latter providing the reference fish length. {T}he {I}mage{J} 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 {I}mage{J} on-screen tools, respectively. {W}e conclude that the automatic measurement procedure provides very effective results for fish < 50 cm {TL}. {T}his method is relevant for governmental, non-governmental, and research organizations that investigate size-related fishing and management impacts on fish community structure and dynamics.}, keywords = {automatic fish measurement ; catch size structure ; image analysis ; reef ; fish ; {MADAGASCAR} ; {TULEAR} {BAIE}}, booktitle = {}, journal = {{F}isheries {R}esearch}, volume = {223}, numero = {}, pages = {art. 105425 [8 p.]}, ISSN = {0165-7836}, year = {2020}, DOI = {10.1016/j.fishres.2019.105425}, URL = {https://www.documentation.ird.fr/hor/fdi:010077864}, }