2021
DOI: 10.4081/gh.2021.998
|View full text |Cite
|
Sign up to set email alerts
|

A geospatial database management system for the collection of medicinal plants

Abstract: 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 no… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
0
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 17 publications
0
0
0
Order By: Relevance
“…Despite the advent of applications employing advanced technologies such as crowdsourcing, image recognition, and convolutional neural networks for the identification and recognition of medicinal plants, as seen in Isa et al [7] and Sugiarto et al [8], the field remains challenged by the need for more precise and efficient geolocation methods. The utilization of geospatial database management systems and the development of augmented reality portals, as presented in Puttinaovarat and Horkaew [9] and Permana et al [10] respectively, indicate a technological evolution to enhance interaction with medicinal plant information. Nonetheless, the enduring value of traditional knowledge, as documented in Faruque et al [11] and the ethnobotanical analysis in Boycheva and Ivanov [12], emphasizes the integration of such a posteriori knowledge into contemporary technological advancements.…”
Section: Introductionmentioning
confidence: 99%
“…Despite the advent of applications employing advanced technologies such as crowdsourcing, image recognition, and convolutional neural networks for the identification and recognition of medicinal plants, as seen in Isa et al [7] and Sugiarto et al [8], the field remains challenged by the need for more precise and efficient geolocation methods. The utilization of geospatial database management systems and the development of augmented reality portals, as presented in Puttinaovarat and Horkaew [9] and Permana et al [10] respectively, indicate a technological evolution to enhance interaction with medicinal plant information. Nonetheless, the enduring value of traditional knowledge, as documented in Faruque et al [11] and the ethnobotanical analysis in Boycheva and Ivanov [12], emphasizes the integration of such a posteriori knowledge into contemporary technological advancements.…”
Section: Introductionmentioning
confidence: 99%