Remote Sensing Parameters Role in Agriculture: A Review

Vegetation Indices (VIs) obtained from remote sensing (RS) based canopies are quite simple and effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor, and growth dynamics, among other applications. These indices have been widely implemented within RS application using different airborne and satellite platforms with recent advances using Unmanned Aerial Vehicles (UAV). Vegetation indices (VIs) are different combination of surface reflectance at two or more wavelength designed to highlight a particular property of vegetation. Crop yield estimates at regional scale are essential for proper planning and policy making in the agriculture sector of the country. Remotely sensed images are provided great potential in crop growth and yield over large area owing to their spatial and temporal coverage. Over the last few decades, the most commonly used yield-vegetation index has been criticized because of its strong experiential character.  To predict of wheat yield using normalized difference vegetation index (NDVI) and different weather parameter during different phases of crop growth.  To improve crop production and prediction depend upon the crops factors such as crop genotype, soil characteristics, agronomic practices, weather condition and biotic stresses that can be identify by remote sensing indices at instant time. The present study introduces the spectral characteristics of vegetation and application in crop production and status of crop growth at course of growth. . To improve crop production and prediction depend on remote sensing indices sensitive to spectral reflectance of crop at instant time.