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S Soemarno
UB Malang
Agriculture, Biological Sciences & Forestry Environmental Science

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ESTIMASI KANDUNGAN KLOROFIL TANAMAN KOPI ROBUSTA (Coffea canephora var. Robusta) MENGGUNAKAN NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) DI BANGELAN, WONOSARI, MALANG Ajral Mukhlisin; S Soemarno
Jurnal Tanah dan Sumberdaya Lahan Vol. 7 No. 2 (2020)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (713.973 KB) | DOI: 10.21776/ub.jtsl.2020.007.2.18

Abstract

Chlorophyll in leaves affects the reflection of infrared light, where healthy plants can reflect more infrared light than unhealthy plants which is one of the factors increasing production in coffee plants. Normalized Difference Vegetation Index (NDVI) is a plant index that utilizes red and infrared light. Therefore, in this study, the algorithm used to determine the chlorophyll content is NDVI. The purpose of this study was to assess the value of chlorophyll content, the value of vegetation index, and to estimate chlorophyll content in coffee plants in PTPN XII Bangelan Village using a remote sensing method. The results showed that the average chlorophyll content of coffee plants assessed using the SPAD (Soil Plant Analysis Development) aid was 65.95 mg g-1. The average Vegetable Index of coffee plants was 0.59. NDVI vegetation index was directly proportional to the value of chlorophyll content in the leaves of coffee plants with the formula of y = 97.665x + 7.684 with R = 0.7153 where the x value is the NDVI value. Thus, remote sensing can be used to estimate the chlorophyll content of coffee plants.
Co-Authors Ajral Mukhlisin