The Relation between Vegetation Index of The Generative Stage with Productivity of Paddy Fields in Alatengae Village, Maros Regency^
Kusdilawana (a), Dr. Ir. Daniel Useng, M.Eng.Sc. (b*) and Ir. Samsuar, S.TP., M.Si. (b)

a) Student of Agriculture Engineering Study Program, Universitas Hasanuddin, Makassar, 90245, Indonesia
b) Lecturer of Agriculture Engineering Study Program, Universitas Hasanuddin, Makassar, 90245, Indonesia

Abstract

Maros Regency is one of the regencies that are food barns in South Sulawesi. Based on data released by BPS (Central Statistics Agency), in the last three years the production and productivity of agricultural land, especially rice plants in Maros Regency have experienced quite large fluctuations. Estimating the value of land productivity is very important to know as information material in support national food security. Geographic Information System is one of the modern technologies that can be used in estimating rice productivity, by utilizing Sentinel 2 image data. Spectral transformation to display aspects of plant conditions such as the vegetation index NDVI (Normalized Difference Vegetation Index), EVI (Enhanced Vegetation Index) and SAVI (Soil Adjusted Vegetation Index) can be used to predict agricultural land productivity. The purpose of this study was to determine the relation between the vegetation index value of the generative stage and the productivity of paddy fields in Alatengae village. The method used is a simple linear regression method in estimating the relation between rice productivity and the vegetation index NDVI, EVI and SAVI. From the analysis of the relation between the vegetation index and rice productivity, there is a very strong (positive) correlation, where the higher the value of the vegetation index, the higher the plant productivity will be. The result of processing the vegetation index between NDVI, EVI and SAVI in predicting rice productivity in the generative stage is the EVI vegetation index. The average deviation of the estimated productivity with field conditions is 0.36 Tons/ha or 5.02% for the NDVI vegetation index, 0.24 Tons/ha or 3.63% for the EVI vegetation index, 0.28 Tons/ha or 4.19% for the SAVI vegetation index.

Keywords: Productivity, Vegetation index, Sentinel-2.

Topic: Digital farming