Automated Plant Species Identification Using Leaf Shape-Based Classification Techniques: A Case Study on Iranian Maples

Leaf is one of the most important organs of plant. Leaf contour or outline, usually a closed curve, is a fundamental morphological feature of leaf in botanical research. In this paper, a novel shape descriptor based on periodic wavelet series and leaf contour is presented, which we name as Periodic Wavelet Descriptor (PWD). The PWD of a leaf actually expresses the leaf contour in a vector form. Consequently, the PWD of a leaf has a wide range in practical applications, such as leaf modeling, plant species identification and classification, etc. In this work, the plant species identification and the leaf contour reconstruction, as two practical applications, are discussed to elaborate how to employ the PWD of a plant leaf in botanical research.

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Plant Species Identification by Bi-channel Deep Convolutional Networks

Journal of Physics Conference Series ◽

10.1088/1742-6596/1004/1/012015 ◽

2018 ◽

Vol 1004 ◽

pp. 012015

Author(s):

Guiqing He ◽

Zhaoqiang Xia ◽

Qiqi Zhang ◽

Haixi Zhang ◽

Jianping Fan

Keyword(s):

Species Identification ◽

Plant Species ◽

Convolutional Networks ◽

Plant Species Identification

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Towards Plant Species Identification in Complex Samples: A Bioinformatics Pipeline for the Identification of Novel Nuclear Barcode Candidates

PLoS ONE ◽

10.1371/journal.pone.0147692 ◽

2016 ◽

Vol 11 (1) ◽

pp. e0147692 ◽

Cited By ~ 5

Author(s):

Alexandre Angers-Loustau ◽

Mauro Petrillo ◽

Valentina Paracchini ◽

Dafni M. Kagkli ◽

Patricia E. Rischitor ◽

...

Keyword(s):

Species Identification ◽

Plant Species ◽

Bioinformatics Pipeline ◽

Complex Samples ◽

Plant Species Identification

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Mobile Vision for Plant Biometric System

Environmental and Agricultural Informatics ◽

10.4018/978-1-5225-9621-9.ch034 ◽

2020 ◽

pp. 773-791

Author(s):

Shitala Prasad

Keyword(s):

Ubiquitous Computing ◽

Species Identification ◽

Plant Species ◽

Expert Knowledge ◽

Biometric System ◽

Plant Identification ◽

Significant Growth ◽

Wide Range ◽

Plant Species Identification ◽

Research Analysis

In human's life plant plays an important part to balance the nature and supply food-&-medicine. The traditional manual plant species identification method is tedious and time-consuming process and requires expert knowledge. The rapid developments of mobile and ubiquitous computing make automated plant biometric system really feasible and accessible for anyone-anywhere-anytime. More and more research are ongoing to make it a more realistic tool for common man to access the agro-information by just a click. Based on this, the chapter highlights the significant growth of plant identification and leaf disease recognition over past few years. A wide range of research analysis is shown in this chapter in this context. Finally, the chapter showed the future scope and applications of AaaS and similar systems in agro-field.

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