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 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.