Data mining based tool for early prediction of possible fruit pathogen infection
作者： Bratislav Predic , Milos Ilic , Petar Spalevic , Slavisa Trajkovic , Srdjan Jovic
DOI: 10.1016/J.COMPAG.2018.09.023
关键词: Task (project management) 、 Process (engineering) 、 Early prediction 、 Plant species 、 Field (computer science) 、 Open source 、 Chemical protection 、 Data mining 、 Data mining algorithm 、 Computer science
摘要: Abstract Effective chemical protection of fruit is a complex task which can enable production healthy food without residues. As health growing global concern, it important to automate and optimize the process. Different data mining techniques be used identify pattern diseases so as prevent excessive use chemicals. However, application systems in this field very task. Besides that, these are often designed for just one specific plant species. One solution prediction risk infection based on that represent weather (meteorological) conditions pathogens presented paper. The research performed collected at region Toplica Republic Serbia during five year period. In paper tool early pathogen performed. open source engine WEKA with GUI created C#, uses several algorithms evaluated Results shown accuracy 89%.
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