Publication Type : Conference Paper
Publisher : IEEE
Source : Proceedings of the 4th International Conference on Computing Methodologies and Communication, ICCMC 2020, 2020, pp. 56-60, 9076476
Url : https://ieeexplore.ieee.org/document/9076476
Campus : Amritapuri
School : School of Engineering
Department : Electrical and Electronics
Year : 2020
Abstract : Ayurvedic medicinal plants are very important since it is one of the key sources of medicine. It can cure various diseases such as Cardiac disorders, Respiratory diseases, Fertility issues etc. So a precise identification of medicinal plant is crucial for proper treatment. Manual recognition can be imprecise and also will be time consuming. In order to stay away from these issues an automatic recognition for medicinal plants are preferred. The features are extracted from images of plant leaves and then classified. The features considered are the shape, textural and colour features. Then some machine learning classification techniques such as KNN and SVM are used for classification and a comparison is made among their performances. All the simulations are done in MATLAB R2019a.
Cite this Research Publication : Raghukumar, A.M., Narayanan, G., Comparison of Machine Learning Algorithms for Detection of Medicinal Plants, Proceedings of the 4th International Conference on Computing Methodologies and Communication, ICCMC 2020, 2020, pp. 56-60, 9076476