Download This PaperReview of Machine Learning Herbal Plant Recognition System
Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020
Proceedings of the International Conference on Innovative Computing & Communication (ICICC) 2021
11 Pages Posted: 3 Apr 2020 Last revised: 23 Apr 2021
Date Written: April 1, 2020
Abstract
Since the ancient times herbal plants are being used for health wellness. But due to modern life style and dependences on allopathic medicine, the majority of the population is unaware about the usages and faced difficulty to identify the herbal plant. These plants are widely used in the area of research where recognition of useful/beneficial plants located in nearby locality becomes necessity of people, so they can take advantage in their daily life to cure diseases. It is apparent that there in need of machine which can automatically recognize the herbal plant. Such machines need to be training for plant recognition. Several physical features like roots, stem, leaf pattern, color, shape of leaf, number of petals are used to recognize and identify plants. Most prominent organ is the leaf shape as it is available throughout the year. Therefore, researchers considered leaf as an important part to recognized plant easily and accurately. In this paper main focus on plant recognition through leaf features using machine learning concepts so to achieve the desired goal on time and in specific conditions.
Keywords: Leaf Recognition, Machine Learning, Deep Learning, Herbal Plants
Suggested Citation: Suggested Citation