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 …
conventional keys is complex, time consuming, and due to the use of specific botanical …
Plant species recognition methods using leaf image: Overview
Plant plays an important role in agricultural, industrial, medicine, environmental and
ecological protection. Recently, with global warming, biodiversity loss, rapid urban …
ecological protection. Recently, with global warming, biodiversity loss, rapid urban …
[HTML][HTML] Social media use and friendship closeness in adolescents' daily lives: An experience sampling study.
The formation and maintenance of friendship closeness is an important developmental task
in adolescence. To obtain insight in real-time processes that may underly the development …
in adolescence. To obtain insight in real-time processes that may underly the development …
Local feature descriptor for image matching: A survey
Image registration is an important technique in many computer vision applications such as
image fusion, image retrieval, object tracking, face recognition, change detection and so on …
image fusion, image retrieval, object tracking, face recognition, change detection and so on …
Deep learning for cell image segmentation and ranking
Ninety years after its invention, the Pap test continues to be the most used method for the
early identification of cervical precancerous lesions. In this test, the cytopathologists look for …
early identification of cervical precancerous lesions. In this test, the cytopathologists look for …
Kernel-based PSO and FRVM: An automatic plant leaf type detection using texture, shape, and color features
B VijayaLakshmi, V Mohan - Computers and Electronics in Agriculture, 2016 - Elsevier
This paper proposes an approach for the classification of leaf, based on the characterization
of texture, shape, and color properties. An original plant leaf is preprocessed initially using …
of texture, shape, and color properties. An original plant leaf is preprocessed initially using …
Development of automated hybrid intelligent system for herbs plant classification and early herbs plant disease detection
MS Mustafa, Z Husin, WK Tan, MF Mavi… - Neural Computing and …, 2020 - Springer
Plants such as herbs are widely used in the medical and cosmetic industry. Recognizing a
species and detecting an early disease of a plant are quite challenging and difficult to …
species and detecting an early disease of a plant are quite challenging and difficult to …
Symmetric binary tree based co-occurrence texture pattern mining for fine-grained plant leaf image retrieval
Leaf image patterns have been actively researched for plant species recognition. However,
as a very challenging fine-grained pattern identification issue, cultivar recognition in which …
as a very challenging fine-grained pattern identification issue, cultivar recognition in which …
Machine learning in medicinal plants recognition: a review
K Pushpanathan, M Hanafi, S Mashohor… - Artificial Intelligence …, 2021 - Springer
Medicinal plants are gaining attention in the pharmaceutical industry due to having less
harmful effects reactions and cheaper than modern medicine. Based on these facts, many …
harmful effects reactions and cheaper than modern medicine. Based on these facts, many …
Fusing deep learning features of triplet leaf image patterns to boost soybean cultivar identification
Soybean cultivar recognition plays a vital role in cultivar evaluation, selection and
production. Recently, there is an increasing interest in taking leaf image patterns as clues for …
production. Recently, there is an increasing interest in taking leaf image patterns as clues for …