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Soil fertility analysis for corn plant with normalized difference vegetation index (NDVI) in Sendana District, Majene Regency, West Sulawesi
Andary, M. Jayadi, A Ahmad

Soil Science Department, Agriculture Faculty of Hasanuddin University, Makassar 90245


Abstract

Majene Regency is one of the areas in West Sulawesi Province, which has a population that mostly depends on agriculture. One of the primary commodities of agricultural production in Majene Regency is corn. Production data is determined using a conventional estimates model, which requires many costs and a long time. Remote sensing technology is one of the alternative technology information in agricultural production management that can use for estimates corn production. For this reason, it is necessary to research to determine the level of soil fertility of corn plants from reflectance values classified using the Normalize Difference Vegetation Index (NDVI) method. This research was conducted in Sendana District, Majene Regency of West Sulawesi. Field survey methods were carried out for soil sampling. Soil samples were taken on the top layer (0-30cm), soil pH analysis with a pH meter, c-organic analysis with Walkley and Black method, cation exchange capacity, and base saturation analysis with ammonium acetate (NH4OAc) extraction, and texture analysis with a hydrometer. The results showed that NDVI analysis the vegetation density in corn has a value in the range of 0.62 - 0.74 in in the density vegetation class with six land cover using maximum likelihood classification (overall accuracy 79%, kappa index 0,7) in Sendana District. The soil characteristics in the moderate vegetation density class not much different from the density vegetation class characteristics. This can be a reference that the vegetation area in the moderate density vegetation class can be converted into corn plants because it has potential soil characteristics to suitable growing conditions and potential land suitability.

Keywords: Majene, NDVI, Remote Sensing, Soil

Topic: Geospatial Technologies in Agriculture

Plain Format | Corresponding Author (Andary Andary)

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