Dadkhahipour, K. (2018). Introduction to information technology for medicinal algae of Iran. , 1(1), 37-49.
Kazem Dadkhahipour. "Introduction to information technology for medicinal algae of Iran". , 1, 1, 2018, 37-49.
Dadkhahipour, K. (2018). 'Introduction to information technology for medicinal algae of Iran', , 1(1), pp. 37-49.
Dadkhahipour, K. Introduction to information technology for medicinal algae of Iran. , 2018; 1(1): 37-49.

Introduction to information technology for medicinal algae of Iran

فناوری و گیاهان دارویی ایران
Article 4, Volume 1, Issue 1, September 2018, Pages 37-49    PDF (1.07 M)
Document Type: Original Article
Author
Kazem Dadkhahipour*
Research Instructor, Department of Botany, Iranian Research Institute of Plant Protection, Agricultural Research Education and Extension Organization (AREEO), Tehran, Iran
Abstract
The use of algae was known to humans about three thousand years ago. More than 2500 algae species have been reported from Iran. Considering the importance of pharmaceutical use and the extraction of effective substances from algae types that are imported more than other countries, a study of biodiversity and explaining the position of various algal species is inevitable. Using programming in the VB.net environment, a software application named "Medicinal Algae of Iran" was designed. By reviewing scientific reports during the last century, digital IDs were found in four kingdoms including 8 divisions, 13 classes, 26 orders, 34 families, 42 genera and 58 species of medicinal algae in Iran. In this algorithm, which is executable in common operating systems such as Windows, the distribution area and also the various distribution points are calculated and plotted on the map based on the relative density of species diversity at each stage of the process. It is worth noting that so far, this software model has not been found in the field of data mining of medicinal algae in scientific resources. Thus, given the importance of interdisciplinary studies and facilitating access to information management about the diversity and distribution of medicinal algae, such features as updating with data integration, ease of use for everyone, and the promotion and extension of technical knowledge for other medicinal plants can be considered in such a software.
Keywords
Algae; Software; Bioinformatics; Electrobotany; Data Mining
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