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Vol. 12, Issue 10 (2023)

An image analysis based system (Image J) for determination of leaf area in seven chrysanthemum varieties

Author(s):
Neeraj Singh Negi and Dr. MC Singh
Abstract:
Leaf area is an essential parameter in plant-based research as it affects various morphological and physiological aspects, including photosynthesis, partition assimilation, and biomass accumulation. Traditionally, graphical method and leaf area meter are used to determine leaf area, which is time-consuming and requires technical precision. A study was conducted in 2020 at IARI, New Delhi, for leaf area analysis using an image processing software, Image J®, on seven Chrysanthemum morifolium varieties. The procedure involves harvesting leaves of individual plants and placing them on a white sheet with a reference object. The photographs were captured using a digital camera and were processed using the software. White Star, a standard type variety had highest leaf area (48.03 cm2) which was in sync with other parameters like stem length and diameter, and bud and flower diameter. This approach using Image J® software is a rapid, inexpensive, and reliable tool for determining leaf area with higher accuracy.
Pages: 2275-2281  |  135 Views  81 Downloads


The Pharma Innovation Journal
How to cite this article:
Neeraj Singh Negi, Dr. MC Singh. An image analysis based system (Image J) for determination of leaf area in seven chrysanthemum varieties. Pharma Innovation 2023;12(10):2275-2281.

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