@article{fdi:010093793,
  title = {{A}rtificial intelligence and social networks can help to protect the famous {D}ugong},
  author = {{M}annocci, {L}aura and {C}arcaillet, {F}. and {C}haumont, {M}. and {G}ivord-{C}oupeau, {B}. and {I}ovan, {C}orina and {M}ouquet, {N}. and {R}affard, {E}. and {R}avera, {J}. and {P}eyre, {Y}. and {P}once, {A}. and {V}igliola, {L}aurent and {V}illon, {S}{\'e}bastien and {M}ouillot, {D}.},
  editor = {},
  language = {{ENG}},
  abstract = {>{L}arge land and ocean mammals, like elephants and whales, play essential roles in the environment but are severely threatened by human activities. {I}mages taken from planes can be used to spot these animals from the air. {H}owever, these species are difficult to observe because they are rare and move a lot, so unfortunately there are not many images collected from planes that contain these species. {F}ortunately, however, people share many photos and videos of large animals on social networks because these animals are attractive. {T}hese images have been used by researchers to train a computer program to recognize an endangered ocean mammal: the dugong. {T}he program found up to 79% of the dugongs present in images collected by a plane flying around the main island of {N}ew {C}aledonia, which is in the {P}acific {O}cean. {T}he goal is to use this program to automatically count and map dugongs in {N}ew {C}aledonia.},
  keywords = {{NOUVELLE} {CALEDONIE} ; {PACIFIQUE}},
  booktitle = {},
  journal = {{F}rontiers for {Y}oung {M}inds},
  volume = {10},
  numero = {},
  pages = {828597 [9 ]},
  ISSN = {2296-6846},
  year = {2022},
  DOI = {10.3389/frym.2022.828597},
  URL = {https://www.documentation.ird.fr/hor/fdi:010093793},
}