[KDD 2020] Fitbit for Chickens? Time Series Data Mining Can Increase the Productivity of Poultry Farms - CrossMinds.ai
[KDD 2020] Fitbit for Chickens? Time Series Data Mining Can Increase the Productivity of Poultry Farms
Aug 13, 20209 views
Alireza Abdoli
 ,Chickens  are  the  most  important  poultry  species  in  the  world. ,Globally,  industrial,scale, ,production  systems  account  for  most  of ,the  poultry  meat  and  eggs  produced. ,The ,welfare ,of  these  birds ,matters  for  both  ethical  and  economic  reasons.  From  an  ethical ,perspective, poultry have a sufficient degree of awareness to suffer ,pain if their health is poor, or deprivation ,if, ,poorly housed. From ,an  economic  viewpoint,  consum,ers ,increasingly ,value  poultry ,welfare, so better market access ,can, ,be obtained by producers who ,demonstrate, ,concern  for, ,their  flocks. ,Recent, ,advances  in  sensor ,technology  has  allowed  the  opportunity  to  record  behavioral ,patterns in chickens,,, ,and several ,research, ,groups, ,have shown that ,such  data can be exploited to enhance chicken welfare. ,However, ,classifying  chicken  behaviors  poses  several  unique  challenges ,which  are  not  observed  in  the  UCR  archive  or  other, ,classic, ,benchmark    collections. ,In    particular,,, ,s,ome    behaviors    are ,manifested in the ,shape, ,of the subsequences, ,whereas, ,others only ,in more abstract ,features,., ,Most algorithms only work well for one ,such  modality.  In  addition, ,our  data  of  interest  has  classes  that ,greatly  differ  in  duration,  and  are  only ,weakly  labeled,  again ,defying the assumptions of the classic benchmark, ,datasets,., ,In this ,work, we propose a general,purpose framework to robustly learn ,and  classify  from  data,sets  exhibiting  these  issues., ,While  our ,experience is with fowl, the lessons we ha,ve learned may be more ,generally   applicable   to   real,world   datasets   in   other   domains, ,including manufacturing and human health,., 
SIGKDD_2020
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