Date of Publication : 29th June 2024

Abstract:Senna auriculata, also known as ‘Avaaram Poo’, is a flower rich in various medicinal properties that could be used to treat diabetes among other conditions. To evaluate the mor- phological characteristics of Avaaram Poo petals under different environmental situations, this study adopts image processing techniques using computer algorithms in order to analyze and modify digital images. In order to perform quantitative analysis, photos of the petals are taken with an open-source computer vision and machine learning software known as the OpenCV (cv2) library. These results exhibit some effect of the environmental conditions on petal’s shape and size when Avaaram Poo plants are exposed to different environments and thus demonstrates the usefulness of imaging technologies for these studies on medicinal plant material. The work will add another feather to our understanding about how medicinal use of such plants can be extended beyond diabetes alone towards more therapeutic interventions while keeping sustainability in our minds for future projects on therapeutic applications of Senna auriculata.

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