Detecting malaysian jurnal of real estateand mapping nutrients concentration in oil palm plantation using remote sensing and geographic information system

Nutrient concentration in the soil is one of the major factors that determined the performance of oil palm crop growth. Shortages of nutrients are normally overcome through the application of chemical fertilizers. High cost of chemical fertilizers had contributed to high production cost. Efficient a...

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Main Authors: Ibrahim, Abd. Latif, Hashim, Mazlan, Ali, Mohamad Idris, Rasib, Abd. Wahid, Wan Kadir, Wan Hazli, Sumari, Mohd. Razif, Haron, Khalid
Format: Conference or Workshop Item
Language:English
Published: 2003
Subjects:
Online Access:http://eprints.utm.my/5023/
http://eprints.utm.my/5023/1/Detecting.pdf
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author Ibrahim, Abd. Latif
Hashim, Mazlan
Ali, Mohamad Idris
Rasib, Abd. Wahid
Wan Kadir, Wan Hazli
Sumari, Mohd. Razif
Haron, Khalid
author_facet Ibrahim, Abd. Latif
Hashim, Mazlan
Ali, Mohamad Idris
Rasib, Abd. Wahid
Wan Kadir, Wan Hazli
Sumari, Mohd. Razif
Haron, Khalid
author_sort Ibrahim, Abd. Latif
building UTeM Institutional Repository
collection Online Access
description Nutrient concentration in the soil is one of the major factors that determined the performance of oil palm crop growth. Shortages of nutrients are normally overcome through the application of chemical fertilizers. High cost of chemical fertilizers had contributed to high production cost. Efficient and proper management in term of fertilizer application is therefore a necessary measure to ensure better returns. Complete and detailed information regarding soil condition across the oil palm plantation is greatly required for aiding farm managers and operators in day-to-day management decision. The main focus of this paper is to examine the ability of remote sensing technique in detecting and quantifying the foliar nutrient in the oil palm crop. Results of this study that have been carried out in the Malaysian Palm Oil Board (MPOB) Research Station in Kluang, Johore showed a strong relationship between measured foliar nutrient and the spectral reflectance measured using spectroradiometer at micro level, which can in turn be regressed at macro-level with appropriate satellite data to map nutrient status for large areal extent.
first_indexed 2025-11-15T20:50:12Z
format Conference or Workshop Item
id utm-5023
institution Universiti Teknologi Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T20:50:12Z
publishDate 2003
recordtype eprints
repository_type Digital Repository
spelling utm-50232017-08-30T12:25:26Z http://eprints.utm.my/5023/ Detecting malaysian jurnal of real estateand mapping nutrients concentration in oil palm plantation using remote sensing and geographic information system Ibrahim, Abd. Latif Hashim, Mazlan Ali, Mohamad Idris Rasib, Abd. Wahid Wan Kadir, Wan Hazli Sumari, Mohd. Razif Haron, Khalid S Agriculture (General) TA Engineering (General). Civil engineering (General) Nutrient concentration in the soil is one of the major factors that determined the performance of oil palm crop growth. Shortages of nutrients are normally overcome through the application of chemical fertilizers. High cost of chemical fertilizers had contributed to high production cost. Efficient and proper management in term of fertilizer application is therefore a necessary measure to ensure better returns. Complete and detailed information regarding soil condition across the oil palm plantation is greatly required for aiding farm managers and operators in day-to-day management decision. The main focus of this paper is to examine the ability of remote sensing technique in detecting and quantifying the foliar nutrient in the oil palm crop. Results of this study that have been carried out in the Malaysian Palm Oil Board (MPOB) Research Station in Kluang, Johore showed a strong relationship between measured foliar nutrient and the spectral reflectance measured using spectroradiometer at micro level, which can in turn be regressed at macro-level with appropriate satellite data to map nutrient status for large areal extent. 2003-08 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/5023/1/Detecting.pdf Ibrahim, Abd. Latif and Hashim, Mazlan and Ali, Mohamad Idris and Rasib, Abd. Wahid and Wan Kadir, Wan Hazli and Sumari, Mohd. Razif and Haron, Khalid (2003) Detecting malaysian jurnal of real estateand mapping nutrients concentration in oil palm plantation using remote sensing and geographic information system. In: Proceedings of Agriculture Conference, 24-28 August 2003, Putrajaya Marriott Hotel.
spellingShingle S Agriculture (General)
TA Engineering (General). Civil engineering (General)
Ibrahim, Abd. Latif
Hashim, Mazlan
Ali, Mohamad Idris
Rasib, Abd. Wahid
Wan Kadir, Wan Hazli
Sumari, Mohd. Razif
Haron, Khalid
Detecting malaysian jurnal of real estateand mapping nutrients concentration in oil palm plantation using remote sensing and geographic information system
title Detecting malaysian jurnal of real estateand mapping nutrients concentration in oil palm plantation using remote sensing and geographic information system
title_full Detecting malaysian jurnal of real estateand mapping nutrients concentration in oil palm plantation using remote sensing and geographic information system
title_fullStr Detecting malaysian jurnal of real estateand mapping nutrients concentration in oil palm plantation using remote sensing and geographic information system
title_full_unstemmed Detecting malaysian jurnal of real estateand mapping nutrients concentration in oil palm plantation using remote sensing and geographic information system
title_short Detecting malaysian jurnal of real estateand mapping nutrients concentration in oil palm plantation using remote sensing and geographic information system
title_sort detecting malaysian jurnal of real estateand mapping nutrients concentration in oil palm plantation using remote sensing and geographic information system
topic S Agriculture (General)
TA Engineering (General). Civil engineering (General)
url http://eprints.utm.my/5023/
http://eprints.utm.my/5023/1/Detecting.pdf