Automated plant identification using artificial neural network and support vector machine

How automated image analysis techniques help scientists in species identification and classification?

(2018) E. Yousef Kalafi et al.   FOLIA MORPHOLOGICA

Automated identification of Monogeneans using digital image processing and K-nearest neighbour approaches

(2016) Elham Yousef Kalafi et al.   BMC BIOINFORMATICS

Automated otolith image classification with multiple views: an evaluation on Sciaenidae

(2016) J. Y. Wong et al.   JOURNAL OF FISH BIOLOGY

Fully-automated identification of fish species based on otolith contour: using short-time Fourier transform and discriminant analysis (STFT-DA)

(2016) Nima Salimi et al.   PeerJ

Automated identification of copepods using digital image processing and artificial neural network

(2015) Lee Kien Leow et al.   BMC BIOINFORMATICS

Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer

(2015) Salvador Gutiérrez et al.   PLoS One

Water monitoring: automated and real time identification and classification of algae using digital microscopy

(2014) Primo Coltelli et al.   Environmental Science-Processes & Impacts

Semantic representation of monogenean haptoral Bar image annotation

(2013) Arpah Abu et al.   BMC BIOINFORMATICS

Biodiversity image retrieval framework for monogeneans

(2013) Arpah Abu et al.   SYSTEMATICS AND BIODIVERSITY

Predicting tissue specific cis-regulatory modules in the human genome using pairs of co-occurring motifs

(2012) Hani Z Girgis et al.   BMC BIOINFORMATICS

Fish species classification by color, texture and multi-class support vector machine using computer vision

(2012) Jing Hu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A new automatic identification system of insect images at the order level

(2012) Jiangning Wang et al.   KNOWLEDGE-BASED SYSTEMS

NIH Image to ImageJ: 25 years of image analysis

(2012) Caroline A Schneider et al.   NATURE METHODS

Plant Image Retrieval Using Color, Shape and Texture Features

(2010) H. Kebapci et al.   COMPUTER JOURNAL

Classification of leaf epidermis microphotographs using texture features

(2009) Elio Ramos et al.   Ecological Informatics