A Review on Plant Leaf Identification and Classification Using Machine Learning Techniques

A Review on Plant Leaf Identification and Classification Using Machine Learning Techniques
Author(s):
Neha Malhotra, Dr. Geeta Rani
Keywords:
Machine learning, Deep learning, accuracy, Support vector machine, CNN, Classification, Accuracy.
Abstract
Leaf and plant recognition is a rapidly expanding field of study that has huge practical implications for industries as diverse as agriculture, crop rotation, horticulture and others. Image capture, including leaf image improvement, leaf segmentation, extraction of features, and classification, is the first step in the process. One widespread use of these categories nowadays is in the categorization of plants. Several methods for identifying and categorizing plant leaves are discussed in this paper. With the advent of new technologies like machine learning leaf recognition become easier and accurate. Moreover, comparative analysis of machine and deep learning based techniques for leaf recognition based on factors such as dataset used, features considered, classifier type and accuracy obtained has been executed. Apart from this the open research issues and their suggestive solutions has been highlighted in this paper.
Article Details
Unique Paper ID: 164459 Publication Volume & Issue: Volume 10, Issue 12 Page(s): 1544 - 1552
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org