Plant species identification using computer vision techniques: a systematic literature review

J Wäldchen, P Mäder - Archives of computational methods in engineering, 2018 - Springer
Species knowledge is essential for protecting biodiversity. The identification of plants by
conventional keys is complex, time consuming, and due to the use of specific botanical …

A review of visual descriptors and classification techniques used in leaf species identification

KK Thyagharajan, I Kiruba Raji - Archives of Computational Methods in …, 2019 - Springer
Plants are fundamentally important to life. Key research areas in plant science include plant
species identification, weed classification using hyper spectral images, monitoring plant …

Deep phenotyping: deep learning for temporal phenotype/genotype classification

S Taghavi Namin, M Esmaeilzadeh, M Najafi… - Plant methods, 2018 - Springer
Background High resolution and high throughput genotype to phenotype studies in plants
are underway to accelerate breeding of climate ready crops. In the recent years, deep …

Leaf classification using shape, color, and texture features

A Kadir, LE Nugroho, A Susanto, PI Santosa - arXiv preprint arXiv …, 2013 - arxiv.org
Several methods to identify plants have been proposed by several researchers. Commonly,
the methods did not capture color information, because color was not recognized as an …

[PDF][PDF] Plant leaf recognition using shape based features and neural network classifiers

J Chaki, R Parekh - International Journal of Advanced Computer Science …, 2011 - Citeseer
This paper proposes an automated system for recognizing plant species based on leaf
images. Plant leaf images corresponding to three plant types, are analyzed using two …

Leaf recognition of woody species in Central Europe

P Novotný, T Suk - biosystems engineering, 2013 - Elsevier
A system for recognition of woody species in Central Europe according to the images of their
leaves is described. Our own data set, which includes 151 species at this moment, with at …

Fine-grained recognition of plants from images

M Šulc, J Matas - Plant Methods, 2017 - Springer
Background Fine-grained recognition of plants from images is a challenging computer vision
task, due to the diverse appearance and complex structure of plants, high intra-class …

Evaluation of cress seed gum and xanthan gum effect on macrostructure properties of gluten-free bread by image processing

S Naji-Tabasi, M Mohebbi - Journal of Food Measurement and …, 2015 - Springer
In recent times computer vision employing image processing techniques has been
developed rapidly in order to quantitatively characterize of foods. In this study, effect of cress …

Neural network application on foliage plant identification

A Kadir, LE Nugroho, A Susanto, PI Santosa - arXiv preprint arXiv …, 2013 - arxiv.org
Several researches in leaf identification did not include color information as features. The
main reason is caused by a fact that they used green colored leaves as samples. However …

[PDF][PDF] Leaf features extraction and recognition approaches to classify plant

MF Ab Jabal, S Hamid, S Shuib, I Ahmad - Journal of Computer Science, 2013 - Citeseer
Plant classification based on leaf identification is becoming a popular trend. Each leaf
carries substantial information that can be used to identify and classify the origin or the type …