Prediction of hexaconazole concentration in top most layer of oil palm plantation soil using Exploratory Data Analysis (EDA)
Ganoderma boninense is a fungus that can affect oil palm trees and cause a serious disease called the basal stem root (BSR). This disease causes the death of more than 80% of oil palm trees midway through their economic life and hexaconazole is one of the particular fungicides that can control this...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science
2017
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/62799/ http://psasir.upm.edu.my/id/eprint/62799/1/Prediction%20of%20hexaconazole%20.pdf |
| _version_ | 1848854667804540928 |
|---|---|
| author | Zainol, Maznah Muhamad, Halimah S. Shitan, Mahendran Karmokar, Provash Kumar Sulaiman, Najwa |
| author_facet | Zainol, Maznah Muhamad, Halimah S. Shitan, Mahendran Karmokar, Provash Kumar Sulaiman, Najwa |
| author_sort | Zainol, Maznah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Ganoderma boninense is a fungus that can affect oil palm trees and cause a serious disease called the basal stem root (BSR). This disease causes the death of more than 80% of oil palm trees midway through their economic life and hexaconazole is one of the particular fungicides that can control this fungus. Hexaconazole can be applied by the soil drenching method and it will be of interest to know the concentration of the residue in the soil after treatment with respect to time. Hence, a field study was conducted in order to determine the actual concentration of hexaconazole in soil. In the present paper, a new approach that can be used to predict the concentration of pesticides in the soil is proposed. The statistical analysis revealed that the Exploratory Data Analysis (EDA) techniques would be appropriate in this study. The EDA techniques were used to fit a robust resistant model and predict the concentration of the residue in the topmost layer of the soil. |
| first_indexed | 2025-11-15T11:13:31Z |
| format | Article |
| id | upm-62799 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:13:31Z |
| publishDate | 2017 |
| publisher | Public Library of Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-627992022-11-09T02:45:14Z http://psasir.upm.edu.my/id/eprint/62799/ Prediction of hexaconazole concentration in top most layer of oil palm plantation soil using Exploratory Data Analysis (EDA) Zainol, Maznah Muhamad, Halimah S. Shitan, Mahendran Karmokar, Provash Kumar Sulaiman, Najwa Ganoderma boninense is a fungus that can affect oil palm trees and cause a serious disease called the basal stem root (BSR). This disease causes the death of more than 80% of oil palm trees midway through their economic life and hexaconazole is one of the particular fungicides that can control this fungus. Hexaconazole can be applied by the soil drenching method and it will be of interest to know the concentration of the residue in the soil after treatment with respect to time. Hence, a field study was conducted in order to determine the actual concentration of hexaconazole in soil. In the present paper, a new approach that can be used to predict the concentration of pesticides in the soil is proposed. The statistical analysis revealed that the Exploratory Data Analysis (EDA) techniques would be appropriate in this study. The EDA techniques were used to fit a robust resistant model and predict the concentration of the residue in the topmost layer of the soil. Public Library of Science 2017-01 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/62799/1/Prediction%20of%20hexaconazole%20.pdf Zainol, Maznah and Muhamad, Halimah and S. Shitan, Mahendran and Karmokar, Provash Kumar and Sulaiman, Najwa (2017) Prediction of hexaconazole concentration in top most layer of oil palm plantation soil using Exploratory Data Analysis (EDA). PloS One, 12 (1). pp. 1-17. ISSN 1932-6203 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0166203 10.1371/journal.pone.0166203 |
| spellingShingle | Zainol, Maznah Muhamad, Halimah S. Shitan, Mahendran Karmokar, Provash Kumar Sulaiman, Najwa Prediction of hexaconazole concentration in top most layer of oil palm plantation soil using Exploratory Data Analysis (EDA) |
| title | Prediction of hexaconazole concentration in top most layer of oil palm plantation soil using Exploratory Data Analysis (EDA) |
| title_full | Prediction of hexaconazole concentration in top most layer of oil palm plantation soil using Exploratory Data Analysis (EDA) |
| title_fullStr | Prediction of hexaconazole concentration in top most layer of oil palm plantation soil using Exploratory Data Analysis (EDA) |
| title_full_unstemmed | Prediction of hexaconazole concentration in top most layer of oil palm plantation soil using Exploratory Data Analysis (EDA) |
| title_short | Prediction of hexaconazole concentration in top most layer of oil palm plantation soil using Exploratory Data Analysis (EDA) |
| title_sort | prediction of hexaconazole concentration in top most layer of oil palm plantation soil using exploratory data analysis (eda) |
| url | http://psasir.upm.edu.my/id/eprint/62799/ http://psasir.upm.edu.my/id/eprint/62799/ http://psasir.upm.edu.my/id/eprint/62799/ http://psasir.upm.edu.my/id/eprint/62799/1/Prediction%20of%20hexaconazole%20.pdf |