Intelligent data service for farmers

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 differen...

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Bibliographic Details
Published in2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) pp. 1072 - 1075
Main Authors Linna, P., Narra, N., Gronman, J.
Format Conference Proceeding
LanguageEnglish
Published Croatian Society MIPRO 01.05.2019
Subjects
agriculture
artificial intelligence
platform
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Summary: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.
ISSN:2623-8764
DOI:10.23919/MIPRO.2019.8756688