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