In today’s time basically from ancient time India mostly uses ayurveda’s culture and that bio-medical plants can be under a ayurveda to cure the disease by making medicine using herbs. Bio-medicinal plants is known to be medical herbs which having therapeutic properties and we use for various medicinal purpose. It can be classified into several types based on various usages and chemical components like Alkaloid rich plant, Terphenoid rich plants, Glycoside rich plant and many more. In the development of Bio-medical plants and herbs classifier we have used the Random Forest classifier to classify these Random Forest is a classifier utilizing many decision trees on different subsets of the input dataset and averages the results in order to improve the dataset’s predictive accuracy. Also, QR codes have become increasingly popular in recent years, as they provide a quick and easy way to get information using a smartphone. There is an area to develop QR code particularly useful in identification and learning the information about medicinal plants and herbs. By generating QR code systems for plants and herbs, gardeners, horticulturists and other learners also can rapidly access information about a particular plant or herb, including its planting location, plant species plant origin, plant care instruction and plant identification etc. The use of QR codes has become more dominant during the COVID-19 pandemic as they provide a contactless way to get information and do transactions. QR codes are becoming gradually popular in the horticulture industry, providing a quick and suitable way for gardeners, horticulturists, and enthusiasts to access information about specific plants and herbs. This article discovers the development of a QR code system for various medicinal plants and herbs, its benefits, and potential applications in education and commercial plant sales. By using QR codes, individuals can expand their knowledge, promote sustainability, and enhance their overall experience with gardening. In this article the author introduces the QR code system for plants and herbs and how quickly it gives information about plants and herbs. the main use of QR code system is to store huge amounts of data in small areas so here time and space is completely utilized in an effective manner.

1.
Rahni
,
AA
Abd
,
N.
Zainal
,
M. Z.
Adna
,
N. E.
Othman
, and
M. F.
Bukhori
, "
Development of the online student attendance monitoring system (SAMSTM) based on QR-codes and mobile devices
,"
J. Eng. Sci. Technol
10
,
28
40
(
2015
).
2.
Tjahyadi
and
Surya
,
"Development Of QR Code-Based Data Sharing Web Application Using System Development Life Cycle Method
,"
Journal of Information System and Technology (JOINT)
2
(
2
),
64
73
(
2021
).
3.
Lertnattee
,
Verayuth
,
Sinthop
Chomya
,
Annupun
Rodtook
,
Ithipan
Methasate
, and
Chanisara
Lueviphan
,
"Herbal Information System for Learning and Tourism: Quick Response Code and Searching
,"
Advanced Science Letters
23
(
1
),
49
53
(
2017
).
4.
Law
,
Ching-yin
, and
Simon
So
,
"QR codes in education
,"
Journal of Educational Technology Development and Exchange (JETDE)
3
(
1
), (
2010
).
5.
Liu
,
Changxiao
,
De-an
Guo
, and
Liang
Liu
,
"Quality transitivity and traceability system of herbal medicine products based on quality markers
,"
Phytomedicine
44
,
247
257
(
2018
).
6.
Qadir
,
Abdul
,
Nida
Khan
,
Satya Prakash
Singh
,
Juber
Akhtar
, and
Muhammad
Arif
.
"Nanotechnological approaches to herbal drugs used in cancer therapy
,"
International Journal of Pharmaceutical Sciences and Research
6
(
10
),
4137
(
2015
).
7.
Mittal
,
Payal
,
Vikas
Gupta
,
Manish
Goswami
,
Nishant
Thakur
and
Praveen
Bansal
,
"Phytochemical and pharmacological potential of viola odorata
,"
International Journal of Pharmacognosy (IJP)
4
,
693
(
2015
).
8.
K.
Seino
,
S.
Kuwabara
,
S.
Mikami
,
Y.
Takahashi
,
M.
Yoshikawa
,
H.
Narumi
,
K.
Koganezaki
,
T.
Wakabayashi
and
A.
Nagano
,
"Development of the traceability system which secures the safety of fishery products using the QR code and a digital signature
," In
Oceans’ 04 MTS/IEEE Techno-Ocean’04 (IEEE Cat. No. 04CH37600
1
,
476
481
, (
IEEE
2004
).
9.
Novoselov
,
Sergiy
,
Oksana
Sychova
and
Serhii
Tesliuk
,
"Development of the method local navigation of mobile robot a based on the tags with QR code and wireless sensor network
," In
2019 IEEE XVth International Conference on the Perspective Technologies and Methods in MEMS Design (MEMSTECH
), (
IEEE
2019
) pp.
46
51
.
10.
Katlav
and
Eda
Özgül
, "QR code applications in tourism," In
Handbook of Research on Smart Technology Applications in the Tourism Industry
, (
IGI Global
2020
) pp.
89
114
.
11.
Jain
,
Chitra
,
Shivani
Khatana
and
Rekha
Vijayvergia
,
"Bioactivity of secondary metabolites of various plants: a review
,"
Int. J. Pharm. Sci. Res
10
(
2
),
494
504
(
2019
).
12.
Liu
,
Chang
,
Linchun
Shi
,
Xiaolan
Xu
,
Huan
Li
,
Hang
Xing
,
Dong
Liang
,
Kun
Jiang
,
Xiaohui
Pang
,
Jingyuan
Song
, and
Shilin
Chen
,
"DNA barcode goes two-dimensions: DNA QR code web server
,"
PloS one
7
(
5
), (
2012
).
13.
Shin
,
Dong-Hee
,
Jaemin
Jung
and
Byeng-Hee
Chang
,
"The psychology behind QR codes: User experience perspective
,"
Computers in Human Behavior
28
(
4
),
1417
1426
(
2012
).
14.
UCI Machine Learning (Owner)
https://www.kaggle.com/datasets/uciml/iris (
Not known but expected update frequency was 7 years ago
).
15.
Veeresham
and
Ciddi
,
"Natural products derived from plants as a source of drugs
,"
Journal of Advanced Pharmaceutical Technology and Research
3
(
4
),
200
201
(
2012
).
16.
Karak
and
Prithviraj
,
"Biological activities of flavonoids: an overview
,"
Int. J. Pharm. Sci. Res.
10
(
4
),
1567
1574
(
2019
).
This content is only available via PDF.
You do not currently have access to this content.