Optical Method for Estimating the Chlorophyll Contents in Plant Leaves

Sensors
Madaín Pérez-PatricioRuben Grajales-Coutiño

Abstract

This work introduces a new vision-based approach for estimating chlorophyll contents in a plant leaf using reflectance and transmittance as base parameters. Images of the top and underside of the leaf are captured. To estimate the base parameters (reflectance/transmittance), a novel optical arrangement is proposed. The chlorophyll content is then estimated by using linear regression where the inputs are the reflectance and transmittance of the leaf. Performance of the proposed method for chlorophyll content estimation was compared with a spectrophotometer and a Soil Plant Analysis Development (SPAD) meter. Chlorophyll content estimation was realized forLactuca sativaL.,Azadirachta indica,Canavalia ensiforme, andLycopersicon esculentum. Experimental results showed that-in terms of accuracy and processing speed-the proposed algorithm outperformed many of the previous vision-based approach methods that have used SPAD as a reference device. On the other hand, the accuracy reached is 91% for crops such asAzadirachta indica, where the chlorophyll value was obtained using the spectrophotometer. Additionally, it was possible to achieve an estimation of the chlorophyll content in the leaf every 200 ms with a low-cost camera and a simple...Continue Reading

References

Feb 6, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·T F Chan, L A Vese
Oct 3, 2008·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Ville HeikkinenTimo Jääskeläinen
Jul 28, 2010·Photosynthesis Research·Jan NaušMartina Spundová

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Citations

Apr 28, 2020·Photochemical & Photobiological Sciences : Official Journal of the European Photochemistry Association and the European Society for Photobiology·M SaleemM Bilal
Dec 14, 2018·Frontiers in Plant Science·Francisco M PadillaRodney B Thompson

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MATLAB

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