• Ahalya Arun
• Bhumika U
• Divyashree K
• Rashmi H S
• Guruprasad L

Recognizing plants is a vital problem, especially for biologists, agricultural researchers, and environmentalists. Plant recognition can be performed by human experts manually but it is a time consuming and low-efficiency process. Automation of plant recognition is an important process for the fields working with plants. This paper presents an approach for plant recognition using leaf images. In this study, the proponents demonstrated the development of the system that gives users the ability to identify vegetables based on photographs of the leaves taken with a high definition camera. The main objective of this system is to modernize process of identification, so as to automate the way of identifying the vegetable plants through leaf image and digital image processing. The proposed system uses RGB to labspace, K-means, GLCM and Multi-SVM techniques to acquire physical parameters of the leaf using MATLAB.

labspace, K-means, GLCM, Multi-SVM, MATLAB.

"Recognition of vegetable leaf using MATLAB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.281-285, June-2019, Available :http://www.jetir.org/papers/JETIR1905N42.pdf

"Recognition of vegetable leaf using MATLAB", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp281-285, June-2019, Available at : http://www.jetir.org/papers/JETIR1905N42.pdf