The Use of NDVI Algorithm in Predicting the Productivity of Rice Fields of Talang District of Solok Regency

Abstract

Estimates of rice production carried out in conventional ways require high costs and a long time, when compared to remote sensing technology. Surveying land conditions using remote sensing satellite technology besides the time of obtaining information is fast and cheap, as well as the survey area is wide and the information got is more sustainable. This study aims to predict the productivity of crop yields (crop yield) of rice fields using the NDVI (Normalized Difference Vegetation Index) algorithm. Research conducted by methods of observation and data processing comprises several stages, namely data pre-processing, analysis of index vegetation until extracted, followed by making a working map for observation and validation of the field. Field results as a consideration of the correlation of the value of vegetation index to the phase of growth and average productivity in the area. The results of the analysis showed the value of NDVI observed as a sign of production that occurred was in the generative phase 2 in the 2nd week of July based on trends that occurred in Talang district of Solok Regency. The results of the actual production data validation test and the use of the NDVI algorithm resulted in an NSE (Nash-Sutcliffe Efficiency) value of 0.868 with the category “Good”.