Forecasting Dendrolimus sibiricus Outbreaks: Data Analysis and Genetic Programming-Based Predictive Modeling

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@Article{malashin:2024:Forests,

• author = "Ivan Malashin and Igor Masich and Vadim Tynchenko and Vladimir Nelyub and Aleksei Borodulin and Andrei Gantimurov and Guzel Shkaberina and Natalya Rezova",
• title = "Forecasting {Dendrolimus sibiricus} Outbreaks: Data Analysis and Genetic Programming-Based Predictive Modeling",
• journal = "Forests",
• year = "2024",
• volume = "15",
• number = "5",
• pages = "Article No. 800",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "1999-4907",
• URL = "https://www.mdpi.com/1999-4907/15/5/800",
• DOI = "doi:10.3390/f15050800",
• abstract = "This study presents an approach to forecast outbreaks of Dendrolimus sibiricus, a significant pest affecting taiga ecosystems. Leveraging comprehensive datasets encompassing climatic variables and forest attributes from 15,000 taiga parcels in the Krasnoyarsk Krai region, we employ genetic programming-based predictive modelling. Our methodology uses Random Forest algorithm to develop robust forecasting model through integrated data analysis techniques. By optimising hyperparameters within the predictive model, we achieved heightened accuracy, reaching a maximum precision of 0.9941 in forecasting pest outbreaks up to one year in advance.",
• notes = "also known as \cite{f15050800}",

}

Genetic Programming entries for Ivan Malashin Igor S Masich Vadim Sergeevich Tynchenko Vladimir A Nelyub Aleksei Borodulin Andrei P Gantimurov Guzel Shkaberina Natalya Rezova

Citations