The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.

Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.

Fullscreen Fullscreen Off


Plants are very much significant component of ecosystem. Plants can be used as foodstuff, in medicines and in many industries for manufacturing various products. Identifying those helps ensure the protection and survival of all natural life. Plant identification can be performed using many different techniques. As plant leaves are more readily available, it is efficient to identify and classify plants by using their leaves. Plant classification by using leaves requires different biometric features. This paper presents the review on various methods for plant classification based on leaf biometric features. For plant classification traditionally, the trained taxonomist and botanist had required to perform set of various tasks. The taxonomist usually classifies the plants based on flowering and associative phenomenon. It was found that this process was time consuming and difficult for following various tasks. The biometric features of plants leaf such as shape and venation make this classification easy. This review study may help the rural people for easily identifying in addition to classifying the plant based on the leaf features. This plant classification method include two basic tasks leaf biometric feature extraction and classification of plants based on these features.

Keywords

Artificial Neural Network, Leaf Shape, Leaf Venation, Morphological Features, Probabilistic Neural Network.
Notifications