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Intelligent data service for farmers

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2019 - Proceedings
EditorsKarolj 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
PublisherIEEE
Pages1072-1075
Number of pages4
ISBN (Electronic)9789532330984
DOIs
Publication statusPublished - 1 May 2019
Publication typeA4 Article in a conference publication
EventInternational Convention on Information and Communication Technology, Electronics and Microelectronics - Opatija, Croatia
Duration: 20 May 201924 May 2019

Conference

ConferenceInternational Convention on Information and Communication Technology, Electronics and Microelectronics
CountryCroatia
CityOpatija
Period20/05/1924/05/19

Abstract

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.