Estimation of Crop Chlorophyll Content by Spectral Indices Using Hyperspectral Non-imaging Data

Abstract

Leaf chlorophyll plays very important role in photosynthesis process which enables conversion of light energy into biochemical energy which is directly related with plant stress, relationship between environment and plants, plants nutritional stress which is important for agriculture management. Conventional methods for estimating leaf chlorophyll content are destructive, time consuming and difficult for taking repeated measurement. So we have estimated leaf chlorophyll content using hyperspectral non-imaging data. Leaf reflectance has been captured by using FieldSpec 4 Spectroradiometer. Different spectral indices were applied for estimation of chlorophyll content and to develop non-destructive model. Spectral indices which have been applied over spectral reflectance have been reported as sensitive to chlorophyll content present in leaf and the correlation between chlorophyll content and indices shows medium to good $$R^2$$ values.