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Predicting tick abundance in Southern Scandinavia using machine learning techniques and satellite imagery – a part of the ScandTick Innovation project
- Source :
- Kjær , L J , Korslund , L , Kjelland , V , Slettan , A , Andreassen , Å K , Paulsen , K M , Christensson , M , Kjellander , P , Teräväinen , M , Soleng , A , Edgar , K S , Lindstedt , H H , Schou , K K & Bødker , R 2017 , ' Predicting tick abundance in Southern Scandinavia using machine learning techniques and satellite imagery – a part of the ScandTick Innovation project ' , NorTick Conference 2017 , Oslo , Norway , 07/02/2017 - 08/02/2017 .
- Publication Year :
- 2017
Details
- Database :
- OAIster
- Journal :
- Kjær , L J , Korslund , L , Kjelland , V , Slettan , A , Andreassen , Å K , Paulsen , K M , Christensson , M , Kjellander , P , Teräväinen , M , Soleng , A , Edgar , K S , Lindstedt , H H , Schou , K K & Bødker , R 2017 , ' Predicting tick abundance in Southern Scandinavia using machine learning techniques and satellite imagery – a part of the ScandTick Innovation project ' , NorTick Conference 2017 , Oslo , Norway , 07/02/2017 - 08/02/2017 .
- Notes :
- application/pdf, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.ocn984713983
- Document Type :
- Electronic Resource