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Data Sources and Risk Management in Precision Agriculture
1G. Milics, 1P. M. Varga, 2F. Magyar, 1I. Balla
1. Hungarian University of Agriculture and Life Sciences
2. Ministry for Innovation and Technology

The digitalisation of the agricultural economy provides more data about the biological processes and technological solutions used for producing agricultural products than ever before. Paralell to the data collection – aiming to provide information for agricultural decision-making and operations – the data informs the farmers, public administration officers and other players in agriculture about the state of the environment. The strategic planning on operation of farms and data handling technologies for the public administration, research, and business services and the agricultural data space created from consumer data, the regulation of data collection, data processing and access to the original or stored data have become a competitive factor for national agricultural sectors, however, it also raises security issues.

Authors have identified three type of risks that the agricultural data handling is facing, namely risk of dropout of services, risk of false/fraud data integration or stealing of the data, high level of concentration of the data in one service provider and presence of outsider (foreigner) data handlers especially due to cloud based data providers.

In this paper required data and its availibility is investigated in the national and local level for precision agriculture and decision making used for plant production.  

Keyword: data in agriculture, risk management, data/kiber security in agriculture
G. Milics    P. M. Varga    F. Magyar    I. Balla    Decision Support Systems    Oral    2022