• Divya P. Gadhe

Now a day’s Remote Sensing is widely used in many upcoming technology for scientific research ,medical field , field of agriculture etc . Hyperspectral remote sensing is the best utility for the crop diversity,crop monitoring and crop health assessment. This paper determine the spectral data of jowar leaves samples and to calculate the spectral vegetation indices. So that it can identify the condition of crop is healthy or unhealthy by using reflectance spectra of the crop and also by finding the chlorophyll content of healthy and disease leaves. The biophysical and biochemical parameters is estimated by using vegetation indices like NDVI,PSSRa,PSSSrb,PSSrc, ARI,CRI,WI,XI. Spectral reflectance curve of jowar crop leaves is measured using field spec 4 (Analytical Spectral Device) spectroradiometer and 30 leaves was taken to take the spectral curve of each leaves which includes healthy, disease and dry leaves.

Field Spec 4, Jowar Leaf samples ,Spectral Reflectance, Spectral Indices Calculations

"Spectral Analysis by calculating indices for healthy and unhealthy leaves of Jowar crop using Non-imaging Hyperspectral Remote Sensing Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.471-477, December-2018, Available :http://www.jetir.org/papers/JETIR1812A64.pdf

"Spectral Analysis by calculating indices for healthy and unhealthy leaves of Jowar crop using Non-imaging Hyperspectral Remote Sensing Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp471-477, December-2018, Available at : http://www.jetir.org/papers/JETIR1812A64.pdf