Data analysis required for vineyard disease prediction

  • 1 Ss. Cyril and Methodius University in Skopje, Faculty of Computers Science and Engineering, Skopje, N.Macedonia


In this paper we will analyze what type of data we need in order to perform the research. Hence, we needed to gather a satisfying set of data that we will use for testing the initial model. In order to get to the right set of data, first it was crucial to identify the most common vineyard diseases in the Republic of North Macedonia. Furthermore, we needed to gather the data set from sensors from all available measuring stations in different vineyard locations. Finally, the aim is to develop an original model for vineyard disease prediction using the most appropriate machine learning algorithms. We present the latest results we have achieved as well.



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