The identification of pests and diseases of rice plants using sentinel-2 satellite imagery data at the end of the vegetative stage

Abstract

One of the factors that affect production yield of cultivation crops, including rice plants, is pest/disease attacks. Various types of pests/diseases are often found in rice cultivation such as rats, stem borers and rice leaf folders. The damage caused by these pests/diseases can lead to production decreases and crop failure. To prevent an increase in pest infestation, monitoring can be carried out by employing remote sensing technologies such as Sentinel 2 satellite imagery. The identification of rice plant pests/diseases can be done using Vegetation Indices such as NDVI and NDRE, due to their sensitivity to plant chlorophyll. The purpose of this study was to identify infected pest and disease of rice plants in paddy fields by using Sentinel-2 satellite imagery. The methods of this study were spatial analysis and simple linear regression analysis, by looking at the relation between Vegetation Indices and rice productivity. The research results showed that based on the low value of NDVI and NDRE at the end of vegetative stage, some of rice fields were infected with pests and diseases. From field observation, it was found that the pests and diseases included rats, rice leaf folders, borers and blasts. Pests/diseases infestation in paddy fields lead to a low Vegetation Index value which results in low rice production. Comparing the NDVI and NDRE, NDRE was better in detecting pests and diseases due to its sensitivity to the plants’ chlorophyll.