Remotely sensed relative humidity for predicting Metisa plana's population oil palm plantations
Metisa plana (Walker) is leaves defoliating insect that is able to cause a staggering loss of USD 2.32 billion within two years to Malaysian oil palm industry. Therefore, an early warning system to predict the outbreak of Metisa plana that is cost, time, and energy effective is crucial. In order to...
Saved in:
Main Authors: | Ruslan, Siti Aisyah, Muharam, Farrah Melissa, Omar, Dzolkhifli, Zulkafli, Zed Diyana, Zambri, Muhammad Pilus |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2018
|
Online Access: | http://psasir.upm.edu.my/id/eprint/67015/1/39TH%20ACRS-2.pdf http://psasir.upm.edu.my/id/eprint/67015/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Using satellite-measured relative humidity for prediction of Metisa plana’s population in oil palm plantations: a comparative assessment of regression and artificial neural network models
by: Ruslan, Siti Aisyah, et al.
Published: (2019) -
Development of geospatial model for Metisa plana (Walker) outbreak and outbreak prediction in oil palm plantations in Malaysia
by: Ruslan, Siti Aisyah
Published: (2018) -
Weather-based forecasting model for the presence of Metisa plana in oil palm plantation using feature selection in
artificial neural network
by: Mohammad Zafrullah Salim,, et al.
Published: (2022) -
Weather-based forecasting model for the presence of Metisa plana in oil palm plantation using feature selection in artificial neural network
by: Salim, Muhammad Zafrullah, et al.
Published: (2022) -
Relationship between Metisa plana and its parasitoids (braconidae and ichneumonidae) at different time-lags in oil palm plantation
by: Mohammad Hilmi Mohd Zahir,, et al.
Published: (2021)