Vegetation Indices for Optimizing Crop Management

Abstract: Remote sensing can assist in various farming practices. A vegetation index (VIs) is essential approach in crop management, providing perceptions into plant growth, health, and stress levels. Vegetation indices (VIs), calculated from satellite and other remote sensing data are used for variety of purposes. Vegetation indices (VIs) are mathematical expressions that transform spectral imaging data to highlight vegetation properties. Vegetation indices (VIs), is allow us in agriculture to quantify vegetation cover, biomass over a given area, predict crop yields and productivity also in resource management decisions. VIs depends on several factors Such as environmental conditions, the type and growth of the crop also the camera hardware. Vegetation indices, like NDVI, are derived from satellite images. These indices are calculated using spectral reflectance data from specific bands, typically red and near-infrared (NIR), collected by remote sensing satellites. NDVI based on the relationship between red and near infrared wavelengths. NDVI is a widely-used metric for quantifying vegetation characteristics like the greenness, health, growth stage and density of vegetation using sensor data. NDVI is a simple yet powerful tool for monitoring and analysing vegetation health from space. This paper focused on the Normalized Difference Vegetation Index (NDVI).