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
Metisa plana (Walker) is a leaf defoliating pest that is able to cause staggering economical losses to oil palm cultivation. Considering the economic devastation that the pest could bring, an early warning system to predict its outbreak is crucial. The state of art of satellite technologies are now...
Saved in:
Main Authors: | Ruslan, Siti Aisyah, Muharam, Farrah Melissa, Zulkafli, Zed, Omar, Dzolkhifli, Zambri, Muhammad Pilus |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science
2019
|
Online Access: | http://psasir.upm.edu.my/id/eprint/82693/1/Using%20satellite-measured%20relative%20humidity%20.pdf http://psasir.upm.edu.my/id/eprint/82693/ https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0223968 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Remotely sensed relative humidity for predicting Metisa plana's population oil palm plantations
by: Ruslan, Siti Aisyah, et al.
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) -
Development of geospatial model for Metisa plana (Walker) outbreak and outbreak prediction in oil palm plantations in Malaysia
by: Ruslan, Siti Aisyah
Published: (2018) -
Comparison of different variable selection methods for predicting the occurrence of Metisa Plana in oil palm plantation using machine learning
by: Wang, Y. P., et al.
Published: (2023)