@ARTICLE{Sandino2018-hh,
  title     = "{Aerial mapping of forests affected by pathogens using UAVs,
               hyperspectral sensors, and artificial intelligence}",
  author    = "Sandino, Juan and Pegg, Geoff and Gonzalez, Felipe and Smith,
               Grant",
  journal   = "Sensors",
  publisher = "mdpi.com",
  volume    =  18,
  number    =  4,
  pages     =  944,
  month     =  "22~" # mar,
  year      =  2018,
  url       = "https://www.mdpi.com/275180",
  doi       = "10.3390/s18040944",
  pmc       = "PMC5948945",
  pmid      =  29565822,
  issn      = "1424-8220",
  language  = "en"
}

{"_id":"M4Wwm5HuNrq9wHtSH","bibbaseid":"sandino-pegg-gonzalez-smith-aerialmappingofforestsaffectedbypathogensusinguavshyperspectralsensorsandartificialintelligence-2018","author_short":["Sandino, J.","Pegg, G.","Gonzalez, F.","Smith, G."],"bibdata":{"bibtype":"article","type":"article","title":"Aerial mapping of forests affected by pathogens using UAVs, hyperspectral sensors, and artificial intelligence","author":[{"propositions":[],"lastnames":["Sandino"],"firstnames":["Juan"],"suffixes":[]},{"propositions":[],"lastnames":["Pegg"],"firstnames":["Geoff"],"suffixes":[]},{"propositions":[],"lastnames":["Gonzalez"],"firstnames":["Felipe"],"suffixes":[]},{"propositions":[],"lastnames":["Smith"],"firstnames":["Grant"],"suffixes":[]}],"journal":"Sensors","publisher":"mdpi.com","volume":"18","number":"4","pages":"944","month":"22 March","year":"2018","url":"https://www.mdpi.com/275180","doi":"10.3390/s18040944","pmc":"PMC5948945","pmid":"29565822","issn":"1424-8220","language":"en","bibtex":"@ARTICLE{Sandino2018-hh,\n title = \"{Aerial mapping of forests affected by pathogens using UAVs,\n hyperspectral sensors, and artificial intelligence}\",\n author = \"Sandino, Juan and Pegg, Geoff and Gonzalez, Felipe and Smith,\n Grant\",\n journal = \"Sensors\",\n publisher = \"mdpi.com\",\n volume = 18,\n number = 4,\n pages = 944,\n month = \"22~\" # mar,\n year = 2018,\n url = \"https://www.mdpi.com/275180\",\n doi = \"10.3390/s18040944\",\n pmc = \"PMC5948945\",\n pmid = 29565822,\n issn = \"1424-8220\",\n language = \"en\"\n}\n\n","author_short":["Sandino, J.","Pegg, G.","Gonzalez, F.","Smith, G."],"key":"Sandino2018-hh","id":"Sandino2018-hh","bibbaseid":"sandino-pegg-gonzalez-smith-aerialmappingofforestsaffectedbypathogensusinguavshyperspectralsensorsandartificialintelligence-2018","role":"author","urls":{"Paper":"https://www.mdpi.com/275180"},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://paperpile.com/eb/baVVsfcUrw","dataSources":["gvQcnokzCD2DjYC3x"],"keywords":[],"search_terms":["aerial","mapping","forests","affected","pathogens","using","uavs","hyperspectral","sensors","artificial","intelligence","sandino","pegg","gonzalez","smith"],"title":"Aerial mapping of forests affected by pathogens using UAVs, hyperspectral sensors, and artificial intelligence","year":2018}