Open AccessNon-destructive assessment of basic parts of the plant grown in hydroponic medium using image processing algorithms
Author(s) -
Sudha Kumari,
Anil Kumar Nirala
Publication year - 2021
Publication title -
international journal of innovative research in physics
Language(s) - English
Resource type - Journals
eISSN - 2689-484X
pISSN - 2687-7902
DOI - 10.15864/ijiip.3104
Subject(s) - parameterized complexity , algorithm , matrix (chemical analysis) , visual inspection , image processing , mathematics , computer science , artificial intelligence , computer vision , image (mathematics) , chemistry , chromatography
In the proposed work, laser biospeckle technique has been used for visual inspection as well as quantitative evaluation of basics parts of the plant grown in hydroponic medium for the first time. Co-Occurrence matrix, Inertia Moment, Absolute Value Difference and Parameterized Global Average Fujii algorithms have been used for biospeckle activity analysis. It is concluded that biospeckle activity obtained using the algorithms can be used for visual inspection as well as quantitative evaluation successfully. In addition, it is also concluded that biospeckle activity has been found highest in the roots and more in leaf in comparison to stem and seed.