The Estimating Chlorophyll content material of vegetation in Hyper Spectral floor photos aims to create an automatic approach to accurately degree the concentration of chlorophyll in plant life using hyperspectral floor pix. This studies makes use of spectral evaluation and feature extraction techniques, mixed with machine studying techniques, to discover and quantify the awareness of chlorophyll from photosynthetic plants. The experimental results show that the approach has an amazing capability to discover plant life chlorophyll concentrations. This approach has correct accuracy and is beneficial inside the subject of precision agriculture for tracking the fertilizer software and nutrient imbalance of crop.