International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 179 - Issue 36 |
Published: Apr 2018 |
Authors: Mamatha V., Sreekumar K. |
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Mamatha V., Sreekumar K. . A Review on Image Analysis Approaches for Estimating Chlorophyll Content from Leaf Images. International Journal of Computer Applications. 179, 36 (Apr 2018), 41-43. DOI=10.5120/ijca2018916845
@article{ 10.5120/ijca2018916845, author = { Mamatha V.,Sreekumar K. }, title = { A Review on Image Analysis Approaches for Estimating Chlorophyll Content from Leaf Images }, journal = { International Journal of Computer Applications }, year = { 2018 }, volume = { 179 }, number = { 36 }, pages = { 41-43 }, doi = { 10.5120/ijca2018916845 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2018 %A Mamatha V. %A Sreekumar K. %T A Review on Image Analysis Approaches for Estimating Chlorophyll Content from Leaf Images%T %J International Journal of Computer Applications %V 179 %N 36 %P 41-43 %R 10.5120/ijca2018916845 %I Foundation of Computer Science (FCS), NY, USA
The green, or the chlorophyll- bearing, plants are the only living forms on this planet capable of fusion of organic matter out of inorganic elements and simple compounds. Automatic identification of plant leaf is a demanding problem in the area of computer vision. Plant chlorophyll estimation can support nitrogen fertilization decisions. Chlorophyll content is a key measure of plant growth and physiological status. Chlorophyll (green colour) is the most notable tetrapyrrol, while the most important tetraterpenoids and carotenoids (yellow-orange-red colour). Chlorophyll was first identified and named by Joseph Bienaimé Caventou and Pierre Joseph Pelletier in 1817 .The existence of magnesium in chlorophyll was discovered in 1906, and was the first time that magnesium had been detected in living tissue.