Effect of Moisture Content on different Engineering Properties of Sweet Basil Seeds

摘要

Principle objective of Image Enhancement is to processan image so that the result is more suitable then original image forspecific application. Digital image enhancement techniques provide amultitude of choices for improving the visual quality of images. Thispaper will provide a comparative analysis of different existingvegetation enhancement indices with respect to the visualinterpretation and analysis of Tea Gardens of Assam (Barak Valley).Different vegetation indices used in present study are NormalizedDifferential Vegetation Index (NDVI), Infrared by Red Ratio (IR/R),Difference Vegetation Index (DVI), Soil and AtmosphericallyResistant Vegetation Index (SARVI), Soil-Adjusted Vegetation Index(SAVI), Transformed Normalised Vegetation Index (TNDVI), andRandomised Differential Vegetation Index (RDVI). Each index isanalysed quantitatively and visually. On the basis of statisticalanalysis, Transformed Normalised Difference Vegetation Index(TNDVI) with the lowest RMSE (0.224) is proposed as most efficientindex for the study of Tea garden biomass estimation.