Abstract
This study introduces a new approach in forecasting the brown plant hopper (BPH) infection levels using the set-valued decision rules. The experiment was conducted in two scenarios, and was supported by the tool SSBPH – the tool is developed by authors. The experimental results help the agricultural managers process information on BPH, forecast the infection of BPH, and give the recommendation to farmers.
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Huynh, H.X., Phan, T.T., Phan, L.P., Nguyen, S.T. (2016). Forecasting the Brown Plant Hopper Infection Levels Using Set-Valued Decision Rules. In: Vinh, P., Alagar, V. (eds) Context-Aware Systems and Applications. ICCASA 2015. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 165. Springer, Cham. https://doi.org/10.1007/978-3-319-29236-6_18
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DOI: https://doi.org/10.1007/978-3-319-29236-6_18
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