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Vol. 10, Special Issue 4 (2021)

Performance of the petiole mobile application on the leaf area estimation as varied with calibration height

Author(s):
Jagjeet Singh, Abhishek Kumar and Laxman Singh
Abstract:
This study presents a new technique i.e., mobile application (Petiole), to estimate the leaf area, of two plant species (Neem & Rose), in the present study. It helps avoid the complex coding and algorithms required in the measurement of leaf area using the image processing techniques. The research's main objective was to evaluate the effect of the calibration height on the performance of the proposed new technique. The results exhibited that leaf area error was observed less than 1 cm2, for both plant species. The study also showed a non-significant effect of calibration height on the performance of the mobile application. The maximum error (cm2) was noticed with increasing calibration height from H1 to H3, but was less than 1 cm2. This study also reported that results of leaf area estimated by the mobile application were agreed with that of the grid count method.
Pages: 337-341  |  1059 Views  239 Downloads
How to cite this article:
Jagjeet Singh, Abhishek Kumar and Laxman Singh. Performance of the petiole mobile application on the leaf area estimation as varied with calibration height. The Pharma Innovation Journal. 2021; 10(4S): 337-341. DOI: 10.22271/tpi.2021.v10.i4Sf.6089
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