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Title: | Pemetaan Kadar Nitrogen Berbasis Pendekatan Chlorophyll Content Index (CCI), Analisis Laboratorium, dan Foto Udara Drone |
Other Titles: | Mapping of Nitrogen Levels Based on the Chlorophyll Content Index (CCI) Approach, Laboratory Analysis, and Aerial Photography of Drone |
Authors: | Barus, Baba Hartono, Arief Handayani, Fitri |
Issue Date: | Jan-2021 |
Publisher: | IPB University |
Abstract: | Nitrogen merupakan bagian dari molekul klorofil yang mengendalikan
fotosintesis sehingga berdampak bagi produktivitas. Penggunaan teknologi berupa
estimasi dan pengukuran non-destruktif dapat dilakukan melalui analisis citra dan
klorofil meter. Tujuan penelitian untuk mengidentifikasi kadar N dengan
pendekatan nilai Cholophyll Content Index (CCI), analisis laboratorium dan
hubungannya, mengidentifikasi Normalized Difference Vegetation Index (NDVI)
dan hubungannya dengan CCI, serta pemetaan kadar N berbasis interpolasi
Inverse Distance Weighted (IDW). Hasil penelitian menunjukkan hubungan CCI
dan N cukup kuat dengan R² sebesar 0,464, sedangkan hubungan antara CCI dan
NDVI sangat lemah dengan R² rendah. NDVI bervariasi pada nilai CCI yang
tinggi maupun yang rendah. Hal tersebut berarti NDVI dengan CCI tidak sejalan,
sehingga NDVI tidak disarankan untuk estimasi kadar N. Secara persebaran data
tertinggi pun, ketiganya tidak memiliki hubungan yang kuat, tetapi hasil
interpolasi IDW menunjukkan bahwa CCI dan N memiliki hubungan spasial
terlihat dari kesamaan pola. Nitrogen is part of the chlorophyll molecule that controls photosynthesis and impact productivity. Image analysis and chlorophyll meters applied in precision agriculture. The research aims to identify N levels with the Chlorophyll Content Index (CCI), laboratory analysis, and their relationship, to identifies the Normalized Difference Vegetation Index (NDVI) and its relationship with CCI, and to map N based on Inverse Distance Weighted (IDW). The results showed that the relationship between CCI and N in laboratory analysis was more accurate with R² is 0.464. However, the relationship between CCI and NDVI is inaccurate. NDVI variations at high and low CCI levels. It means that it is not compatible, so NDVI does not recommend N estimates. Statistically, CCI and N laboratory analysis doesn’t have a very high accuracy relationship but based on IDW they both have a spatial relationship that shown from the similarity of patterns. |
URI: | http://repository.ipb.ac.id/handle/123456789/105438 |
Appears in Collections: | UT - Soil Science and Land Resources |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Cover, Lembar Pengesahan, Prakata, Daftar Isi.pdf Restricted Access | Cover | 545.45 kB | Adobe PDF | View/Open |
A14160018_Fitri Handayani.pdf Restricted Access | Full Text | 3.42 MB | Adobe PDF | View/Open |
Lampiran.pdf Restricted Access | Lampiran | 1.71 MB | Adobe PDF | View/Open |
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