TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Intelligent data service for farmers

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2019 - Proceedings
ToimittajatKarolj Skala, Zeljka Car, Predrag Pale, Darko Huljenic, Matej Janjic, Marko Koricic, Vlado Sruk, Slobodan Ribaric, Tihana Galinac Grbac, Zeljko Butkovic, Marina Cicin-Sain, Dejan Skvorc, Mladen Mauher, Snjezana Babic, Stjepan Gros, Boris Vrdoljak, Edvard Tijan
KustantajaIEEE
Sivut1072-1075
Sivumäärä4
ISBN (elektroninen)9789532330984
DOI - pysyväislinkit
TilaJulkaistu - 1 toukokuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Convention on Information and Communication Technology, Electronics and Microelectronics - Opatija, Kroatia
Kesto: 20 toukokuuta 201924 toukokuuta 2019

Conference

ConferenceInternational Convention on Information and Communication Technology, Electronics and Microelectronics
MaaKroatia
KaupunkiOpatija
Ajanjakso20/05/1924/05/19

Tiivistelmä

The agricultural sector in Finland has been lagging behind in digital development. Development has long been based on increasing production by investing in larger machines. Over the past decade, change has begun to take place in the direction of digitalization. One of the challenges is that different manufacturers are trying to get farmers' data on their own closed cloud services. In the worst case, farmers may lose an overall view of their farms and opportunities for deeper data analysis because their data is located in different services. The goals and previously studied challenges of the 'MIKÄ DATA' project are described in this research. This project will build an intelligent data service for farmers, which is based on the Oskari platform. In the 'Peltodata' service, farmers can see their own field data and many other data sources layer by layer. The project is focused on the study of machine learning techniques to develop harvest yield prediction and find out the correlation between many data sources. The 'Peltodata' service will be ready at the end of 2019.