| dc.description.abstract | Ayurveda, one of the oldest medical systems in
the world relies on natural ingredients from plants to
treat various illnesses. Since Sri Lanka is blessed with
abundant plant resources, there is a need to identify
Ayurvedic herbs for medicinal purposes correctly.
Unfortunately, many citizens, especially the younger
generation, are unfamiliar with these valuable plants.
Additionally, the country is facing an economic crisis,
leading to shortages of imported medicines. To address
these challenges, a system is proposed to identify
Ayurvedic plants available in home gardens, enabling the
public to use them as remedies. While plant identification
systems have been studied extensively, there is limited
research on home garden based Ayurvedic plants. This
research aims to review existing plant identification
systems, the technologies they employ, and their
limitations. The study explores the feasibility of using
"Convolutional Neural Networks (CNN)," the latest
technology, for plant identification. By comparing the
accuracy and efficiency of each method, the goal is to
select the most suitable approach to implement a home
garden based Ayurvedic plant identification system. | en_US |
