Research Article
Forecasting the Brown Plant Hopper Infection Levels Using Set-Valued Decision Rules
381 downloads
@INPROCEEDINGS{10.1007/978-3-319-29236-6_18, author={Hiep Huynh and Tai Phan and Lan Phan and Son Nguyen}, title={Forecasting the Brown Plant Hopper Infection Levels Using Set-Valued Decision Rules}, proceedings={Context-Aware Systems and Applications. 4th International Conference, ICCASA 2015, Vung Tau, Vietnam, November 26-27, 2015, Revised Selected Papers}, proceedings_a={ICCASA}, year={2016}, month={4}, keywords={Brown plant hopper Set-valued decision rule Infection level}, doi={10.1007/978-3-319-29236-6_18} }- Hiep Huynh
Tai Phan
Lan Phan
Son Nguyen
Year: 2016
Forecasting the Brown Plant Hopper Infection Levels Using Set-Valued Decision Rules
ICCASA
Springer
DOI: 10.1007/978-3-319-29236-6_18
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.
Copyright © 2015–2025 ICST
