A comparative study of chlorophyll content estimation techniques through image analysis

Abstract

Leaves are treated as photosynthetic engines of the plant. Chlorophyll content is considered as most important agronomic parameter for studying physiological features related to plant growth, photosynthetic and transpiration process etc. Manual Chlorophyll Extraction procedure using DMSO (Dimethyl sulfoxide) solution and Spectrophotometer are accurate and considered as benchmark for the chlorophyll measurements. But, it is destructive, laborious, time consuming and relatively expensive. In this context, high-throughput colour image analysis is a fast and automated alternative of non-destructive phenotyping.In this paper, we have studied and compared existing techniques of chlorophyll estimation through image processingon a real experimental data and the technique given by Adamsen et al. (1999) was found as best in our experiment with RMSE 0.67.