Yield estimation comparison of harum manis based on savi coefficient variation index / Iffah Hidayati Md Abdul Rahman

Harum manis mango (MA 128) is one of the fruits that has high economic demand and potential for Malaysia export business. Because of the growing demand of Harum Manis mango, crop yield estimation is necessary. Such estimation can warn the decision makers about potential reduction in crop yields a...

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Main Author:	Md Abdul Rahman, Iffah Hidayati
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Philosophy. Relation to other topics. Methodology Soils. Soil science. Including soil surveys, soil chemistry, soil structure, soil-plant relationships Fruit trees
Online Access:	http://ir.uitm.edu.my/id/eprint/23299/ http://ir.uitm.edu.my/id/eprint/23299/1/TD_IFFAH%20HIDAYATI%20MD%20ABDUL%20RAHMAN%20AP%20R%2019.5.PDF

id	uitm-23299
recordtype	eprints
spelling	uitm-232992019-02-28T06:49:01Z http://ir.uitm.edu.my/id/eprint/23299/ Yield estimation comparison of harum manis based on savi coefficient variation index / Iffah Hidayati Md Abdul Rahman Md Abdul Rahman, Iffah Hidayati Philosophy. Relation to other topics. Methodology Soils. Soil science. Including soil surveys, soil chemistry, soil structure, soil-plant relationships Fruit trees Harum manis mango (MA 128) is one of the fruits that has high economic demand and potential for Malaysia export business. Because of the growing demand of Harum Manis mango, crop yield estimation is necessary. Such estimation can warn the decision makers about potential reduction in crop yields and allow timely import and export decision. Remote sensing data has the potential and capability to provide spatial information for large scale plantation. Compared to ground data, remote sensing offers a simpler way of yield estimation by using satellite image. In remote sensing, the appearance of soil background may influence the Harum Manis tree reflection. Choosing the right vegetation index can decrease the effect of soil background. The relevant of this research is to apply the use of remote sensing in the determination of Harum Manis yield. This research will be using Soil Adjusted Vegetation Index (SAVI) to reduce the appearance of soil background. Choosing the right density coefficient of SAVI is necessary for estimating crop yield. The aim of this study is to determine the best density coefficient of SAVI for estimating the yield of Harum Manis. The study area of this research is at Harum Manis plantation in Pusat Kecemerlangan Harum Manis Bukit Bintang, Perlis. The data of SPOT-6 satellite image with 6 meter resolution and field yield data of Harum Manis is used in this study. Processing is carried out using ERDAS Imagine software. This research method utilizes SAVI transformation with density coefficient E-O, L-0.5 and L - I . Regression analysis is done in order to analyze the relationship between each density coefficient with the yield of Harum Manis. The relationship was used to estimate the yield of Harum Manis over the study area for year 2016. 2019-02-28 Thesis NonPeerReviewed other en http://ir.uitm.edu.my/id/eprint/23299/1/TD_IFFAH%20HIDAYATI%20MD%20ABDUL%20RAHMAN%20AP%20R%2019.5.PDF Md Abdul Rahman, Iffah Hidayati (2019) Yield estimation comparison of harum manis based on savi coefficient variation index / Iffah Hidayati Md Abdul Rahman. Degree thesis, Universiti Teknologi Mara Perlis.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Philosophy. Relation to other topics. Methodology Soils. Soil science. Including soil surveys, soil chemistry, soil structure, soil-plant relationships Fruit trees
spellingShingle	Philosophy. Relation to other topics. Methodology Soils. Soil science. Including soil surveys, soil chemistry, soil structure, soil-plant relationships Fruit trees Md Abdul Rahman, Iffah Hidayati Yield estimation comparison of harum manis based on savi coefficient variation index / Iffah Hidayati Md Abdul Rahman
description	Harum manis mango (MA 128) is one of the fruits that has high economic demand and potential for Malaysia export business. Because of the growing demand of Harum Manis mango, crop yield estimation is necessary. Such estimation can warn the decision makers about potential reduction in crop yields and allow timely import and export decision. Remote sensing data has the potential and capability to provide spatial information for large scale plantation. Compared to ground data, remote sensing offers a simpler way of yield estimation by using satellite image. In remote sensing, the appearance of soil background may influence the Harum Manis tree reflection. Choosing the right vegetation index can decrease the effect of soil background. The relevant of this research is to apply the use of remote sensing in the determination of Harum Manis yield. This research will be using Soil Adjusted Vegetation Index (SAVI) to reduce the appearance of soil background. Choosing the right density coefficient of SAVI is necessary for estimating crop yield. The aim of this study is to determine the best density coefficient of SAVI for estimating the yield of Harum Manis. The study area of this research is at Harum Manis plantation in Pusat Kecemerlangan Harum Manis Bukit Bintang, Perlis. The data of SPOT-6 satellite image with 6 meter resolution and field yield data of Harum Manis is used in this study. Processing is carried out using ERDAS Imagine software. This research method utilizes SAVI transformation with density coefficient E-O, L-0.5 and L - I . Regression analysis is done in order to analyze the relationship between each density coefficient with the yield of Harum Manis. The relationship was used to estimate the yield of Harum Manis over the study area for year 2016.
format	Thesis
author	Md Abdul Rahman, Iffah Hidayati
author_facet	Md Abdul Rahman, Iffah Hidayati
author_sort	Md Abdul Rahman, Iffah Hidayati
title	Yield estimation comparison of harum manis based on savi coefficient variation index / Iffah Hidayati Md Abdul Rahman
title_short	Yield estimation comparison of harum manis based on savi coefficient variation index / Iffah Hidayati Md Abdul Rahman
title_full	Yield estimation comparison of harum manis based on savi coefficient variation index / Iffah Hidayati Md Abdul Rahman
title_fullStr	Yield estimation comparison of harum manis based on savi coefficient variation index / Iffah Hidayati Md Abdul Rahman
title_full_unstemmed	Yield estimation comparison of harum manis based on savi coefficient variation index / Iffah Hidayati Md Abdul Rahman
title_sort	yield estimation comparison of harum manis based on savi coefficient variation index / iffah hidayati md abdul rahman
publishDate	2019
url	http://ir.uitm.edu.my/id/eprint/23299/ http://ir.uitm.edu.my/id/eprint/23299/1/TD_IFFAH%20HIDAYATI%20MD%20ABDUL%20RAHMAN%20AP%20R%2019.5.PDF
first_indexed	2023-09-18T23:10:29Z
last_indexed	2023-09-18T23:10:29Z
_version_	1777418769152344064

Yield estimation comparison of harum manis based on savi coefficient variation index / Iffah Hidayati Md Abdul Rahman

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