| <div style='text-align:justify;'>The aushadha are found in all vegetation like hills, forest, etc.; one may find it difficult to identify the correct aushadha. In this situation, help can be sought from the local goatherds, shepherds, cowherds, and other forest dwellers. The local people are accustomed to the aushadha of their respective areas by name and form. The aushadha may treat the patient if administered by the physician who knows the aushadha in its entirety or may prove lethal if administered by a physician who is unaware of the principles governing the correct application of aushadha. Thus, the patient should not take aushadha prescribed by psudo-physicians, nor by a physician who is not proficient in the principles governing the application of aushadha. [Cha. Sa. Sutra Sthana /121-133] Only the substance which can bring about a cure, is a correct medicine. [Cha. Sa. Sutra Sthana 1/135]. | | <div style='text-align:justify;'>The aushadha are found in all vegetation like hills, forest, etc.; one may find it difficult to identify the correct aushadha. In this situation, help can be sought from the local goatherds, shepherds, cowherds, and other forest dwellers. The local people are accustomed to the aushadha of their respective areas by name and form. The aushadha may treat the patient if administered by the physician who knows the aushadha in its entirety or may prove lethal if administered by a physician who is unaware of the principles governing the correct application of aushadha. Thus, the patient should not take aushadha prescribed by psudo-physicians, nor by a physician who is not proficient in the principles governing the application of aushadha. [Cha. Sa. Sutra Sthana /121-133] Only the substance which can bring about a cure, is a correct medicine. [Cha. Sa. Sutra Sthana 1/135]. |
| The aushadha was identified in ancient era mainly by their morphological characteristics and aroma. Current advanced techniques for identification of herbs include DNA markers that use nucleotide sequences to identify species. This technique is tissue specific and has a high discriminating power.<ref>Showkat Hussain Ganie, Priti Upadhyay, Sandip Das, Maheshwer Prasad Sharma, Authentication of medicinal plants by DNA markers, Plant Gene, Volume 4, 2015, Pages 83-99, ISSN 2352-4073, https://doi.org/10.1016/j.plgene.2015.10.002.</ref> Several researchers use DNA barcoding for identification of medicinal herbs.<ref>Chen S, Pang X, Song J, Shi L, Yao H, Han J, Leon C. A renaissance in herbal medicine identification: from morphology to DNA. Biotechnol Adv. 2014 Nov 15;32(7):1237-1244. doi: 10.1016/j.biotechadv.2014.07.004. Epub 2014 Jul 31. PMID: 25087935.</ref> Researches are carried out to develop a modern smartphone leaf picture recognition tool for medicinal plants. This is a software that operates on the operating system Android. It will have two key functions, i.e. recognition of medicinal plants and quest data for medicinal plants.<ref>Medicinal Plant Identification Using Andr Oid Application Based On Leaf Image. European Journal of Molecular & Clinical Medicine, 2020; 7(9): 1496-1506. doi: 10.31838/ejmcm.07.09.161</ref> In Sri Lanka, a database was created from scanned images of leaves and flowers for identification of rare species of plants.<ref>A. D. A. D. S. Jayalath, T. G. A. G. D. Amarawanshaline, D. P. Nawinna, P. V. D. Nadeeshan and H. P. Jayasuriya, "Identification of Medicinal Plants by Visual Characteristics of Leaves and Flowers," 2019 14th Conference on Industrial and Information Systems (ICIIS), 2019, pp. 125-129, doi: 10.1109/ICIIS47346.2019.9063275.</ref> Identification of medicinal herbs is also carried out based on their image using first order feature extraction and multiclass svm algorithm.<ref>R. I. Borman, F. Rossi, Y. Jusman, A. A. A. Rahni, S. D. Putra and A. Herdiansah, "Identification of Herbal Leaf Types Based on Their Image Using First Order Feature Extraction and Multiclass SVM Algorithm," 2021 1st International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS), 2021, pp. 12-17, doi: 10.1109/ICE3IS54102.2021.9649677.</ref></div> | | The aushadha was identified in ancient era mainly by their morphological characteristics and aroma. Current advanced techniques for identification of herbs include DNA markers that use nucleotide sequences to identify species. This technique is tissue specific and has a high discriminating power.<ref>Showkat Hussain Ganie, Priti Upadhyay, Sandip Das, Maheshwer Prasad Sharma, Authentication of medicinal plants by DNA markers, Plant Gene, Volume 4, 2015, Pages 83-99, ISSN 2352-4073, https://doi.org/10.1016/j.plgene.2015.10.002.</ref> Several researchers use DNA barcoding for identification of medicinal herbs.<ref>Chen S, Pang X, Song J, Shi L, Yao H, Han J, Leon C. A renaissance in herbal medicine identification: from morphology to DNA. Biotechnol Adv. 2014 Nov 15;32(7):1237-1244. doi: 10.1016/j.biotechadv.2014.07.004. Epub 2014 Jul 31. PMID: 25087935.</ref> Researches are carried out to develop a modern smartphone leaf picture recognition tool for medicinal plants. This is a software that operates on the operating system Android. It will have two key functions, i.e. recognition of medicinal plants and quest data for medicinal plants.<ref>Medicinal Plant Identification Using Andr Oid Application Based On Leaf Image. European Journal of Molecular & Clinical Medicine, 2020; 7(9): 1496-1506. doi: 10.31838/ejmcm.07.09.161</ref> In Sri Lanka, a database was created from scanned images of leaves and flowers for identification of rare species of plants.<ref>A. D. A. D. S. Jayalath, T. G. A. G. D. Amarawanshaline, D. P. Nawinna, P. V. D. Nadeeshan and H. P. Jayasuriya, "Identification of Medicinal Plants by Visual Characteristics of Leaves and Flowers," 2019 14th Conference on Industrial and Information Systems (ICIIS), 2019, pp. 125-129, doi: 10.1109/ICIIS47346.2019.9063275.</ref> Identification of medicinal herbs is also carried out based on their image using first order feature extraction and multiclass svm algorithm.<ref>R. I. Borman, F. Rossi, Y. Jusman, A. A. A. Rahni, S. D. Putra and A. Herdiansah, "Identification of Herbal Leaf Types Based on Their Image Using First Order Feature Extraction and Multiclass SVM Algorithm," 2021 1st International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS), 2021, pp. 12-17, doi: 10.1109/ICE3IS54102.2021.9649677.</ref></div> |