https://doi.org/10.4081/gh.2021.998

A geospatial database management system for the collection of medicinal plants

Vol. 16 No. 2 (2021)
Submitted: 12 March 2021
Accepted: 29 April 2021
Published: 19 October 2021
Medicinal plants, geospatial database, web application, geographical information system, Thailand.
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Authors

Supattra Puttinaovarat
https://orcid.org/0000-0001-8597-3538
Faculty of Science and Industrial Technology, Prince of Songkla University, Surat Thani Campus, Surat Thani, Thailand.
Paramate Horkaew
phorkaew@sut.ac.th
https://orcid.org/0000-0003-0879-7125
School of Computer Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand.

Medicinal plants are increasingly used, both for medical applications and personal healthcare. However, existing herbal database systems for plant retrieval offer only basic information and do not support real-time analysis of the spatial aspects of plantations and distribution sites. Moreover, data records are usually static and not publicly available as they rely on costly proprietary software packages. To address these shortcomings, including limiting the time needed for collection and data processing, a novel medicinal plants geospatial database management system is proposed. The system allows localization of plant sites and data presentation on an interactive heat map displaying spatial information of plants selected by the user within a specific radius from the user's location, including automatic presentation of an itinerary giving the optimal route between user location and plant destinations selected. The approach relies on dynamic and role-based data management, an interactive map that includes graphics and integrated geospatial analyses thanks to cross-platform, geographical a JavaScript library and Google API. Both spatial data and attributes are available in real time. The system would support effective collaboration, among herb farmers, government agencies, private investors, healthcare professionals and the general public with regard to various aspects of medicinal plants and their applications.

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Citations

Crossref
Scopus
Google Scholar
Europe PMC
Al-Bakri JT, Al-Eisawi D, Damhoureyeh S, Oran S, 2011. GIS-based analysis of spatial distribution of medicinal and herbal plants in arid and semi-arid zones in the Northwest of Jordan. Ann Arid Zone 50:99-115.
Biswas B, Walker S, Varun M, 2017. Web GIS based identification and mapping of medicinal plants: a case study of Agra (up), India. Plant Archives 17:8-20.
Bultum LE, Woyessa AM, Lee D, 2019. ETM-DB: integrated Ethiopian traditional herbal medicine and phytochemicals database. BMC Complem Altern Med 19:212. DOI: https://doi.org/10.1186/s12906-019-2634-1
Chantraket R, Uttaruk P, Skole DL, Samek JH, Castaneda O, 2014. Internet-based development of medicinal plants geospatial system in Phu Phan forest complex: northeastern Thailand. Agric Nat Resour 48:227-40.
Chotchoungchatchai S, Saralamp P, Jenjittikul T, Pornsiripongse S, Prathanturarug S, 2012. Medicinal plants used with Thai Traditional Medicine in modern healthcare services: A case study in Kabchoeng Hospital, Surin Province, Thailand. J Ethnopharmacol 141:193-205. DOI: https://doi.org/10.1016/j.jep.2012.02.019
Fausat OB, Olayinka TA, 2019. Design and implementation of herbal therapy knowledge management system (HTKMS). Science 7:44-52. DOI: https://doi.org/10.11648/j.sjph.20190702.13
Jokar NK, Noorhosseini SA, Allahyari MS, Damalas CA, 2017. Consumers’ acceptance of medicinal herbs: an application of the technology acceptance model (TAM). J Ethnopharmacol 207:203-10. DOI: https://doi.org/10.1016/j.jep.2017.06.017
Khaerunnisa S, Kurniawan H, Awaluddin R, Suhartati S, Soetjipto S, 2020. Potential inhibitor of COVID-19 main protease (Mpro) from several medicinal plant compounds by molecular docking study. Preprints 2020:2020030226. doi: 10.20944/preprints202003.0226.v1. DOI: https://doi.org/10.20944/preprints202003.0226.v1
Kolasinski SL, 2014. Food, drink, and herbs: alternative therapies and gout. Curr Rheumatol Rep 16:409. DOI: https://doi.org/10.1007/s11926-014-0409-8
Mary JA, Priyadharshini KC, Amal GPR, Ramya G, Nithya R, Ambika MB, Shenbagarathai R, 2012. MEDDB: A medicinal plant database developed with the information gathered from tribal people in and around Madurai, Tamil Nadu. Bioinformation 8:391. DOI: https://doi.org/10.6026/97320630008391
Mashayekhan A, Pourmajidian MR, Jalilvand H, Gholami MR, Teimouri MS, 2016. Economic importance and GIS mapping of medicinal plants in Iran: a case study of Darkesh. J Appl Sci Environ Manage 20:646-50. DOI: https://doi.org/10.4314/jasem.v20i3.19
Mason R, 2002. Herbal medicine/phytotherapy databases. Altern Complement Ther 8:127-8. DOI: https://doi.org/10.1089/10762800252909900
Ochwang’i DO, Oduma JA, 2017. Overview of governmental support across Africa toward the development and growth of herbal medicine. In: Kuete V (Ed.), Medicinal spices and vegetables from Africa. Academic Press, New York, NY, USA, pp 153-169. DOI: https://doi.org/10.1016/B978-0-12-809286-6.00006-6
Ogirima SA, 2015. Web-based decision support system for prescription in herbal medicine. J Emerg Trends Engine Applied Sci 6:245-54.
Saxton JD, Owen DJ, 2005. Developing optimal search strategies for finding information on herbs and other medicinal plants in MEDLINE®. J Alternat Complement Med 11:725-31. DOI: https://doi.org/10.1089/acm.2005.11.725
Serafini M, Peluso I, 2016. Functional foods for health: the interrelated antioxidant and anti-inflammatory role of fruits, vegetables, herbs, spices and cocoa in humans. Curr Pharma Design 22:6701-15. DOI: https://doi.org/10.2174/1381612823666161123094235
Tungkwampian W, Theerarungchaisri A, Buranarach M, 2015. Development Thai herbal medicine knowledge base using ontology technique. Thai J Pharma Sci (TJPS) 39:3.
Vetrivel U, Subramanian N, Pilla K, 2009. InPACdb Indian plant anticancer compounds database. Bioinformation 4:71. DOI: https://doi.org/10.6026/97320630004071
Welz AN, Emberger-Klein A, Menrad K, 2018. Why people use herbal medicine: insights from a focus-group study in Germany. BMC Complement Alternat Med 18:92. DOI: https://doi.org/10.1186/s12906-018-2160-6
Wootton JC, 2002. Development of HerbMed®: An interactive, evidence-based herbal database. Adv Phytomed 1:55-60. DOI: https://doi.org/10.1016/S1572-557X(02)80013-7
Wu J, Li X, Huang L, Meng X, Hu H, Luo L, Chen S, 2019. A new GIS model for ecologically suitable distributions of medicinal plants. Chinese Med 14:4. DOI: https://doi.org/10.1186/s13020-019-0226-0

How to Cite

Puttinaovarat, S., & Horkaew, P. (2021). A geospatial database management system for the collection of medicinal plants. Geospatial Health, 16(2). https://doi.org/10.4081/gh.2021.998

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