Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review
Herbaria contain the treasure of millions of specimens that have been preserved for several
years for scientific studies. To increase the rate of scientific discoveries, digitization of these …
years for scientific studies. To increase the rate of scientific discoveries, digitization of these …
From leaves to labels: Building modular machine learning networks for rapid herbarium specimen analysis with LeafMachine2
Premise Quantitative plant traits play a crucial role in biological research. However,
traditional methods for measuring plant morphology are time consuming and have limited …
traditional methods for measuring plant morphology are time consuming and have limited …
[PDF][PDF] Automatic identification of ivorian plants from herbarium specimens using deep learning
Plant identification is most often based on visual observations by botanists and systematists.
Deep learning has become a tool that provides an alternative to automatic plant …
Deep learning has become a tool that provides an alternative to automatic plant …
Automated extraction of phenotypic leaf traits of individual intact herbarium leaves from herbarium specimen images using deep learning based semantic …
With the increase in the digitization efforts of herbarium collections worldwide, dataset
repositories such as iDigBio and GBIF now have hundreds of thousands of herbarium sheet …
repositories such as iDigBio and GBIF now have hundreds of thousands of herbarium sheet …
Ensemble deep learning models for fine-grained plant species identification
Automated plant species identification for the datasets (images) collected from the natural
environment is a challenging task. This study investigates the development and application …
environment is a challenging task. This study investigates the development and application …
Application of computer vision and machine learning for digitized herbarium specimens: A systematic literature review
Herbarium contains treasures of millions of specimens which have been preserved for
several years for scientific studies. To speed up more scientific discoveries, a digitization of …
several years for scientific studies. To speed up more scientific discoveries, a digitization of …
Evaluasi Layanan Bimbingan Teknologi Informasi dan Komunikasi (TIK)
SM Gusti, A Ambiyar - Jurnal Edutech Undiksha, 2021 - ejournal.undiksha.ac.id
Pelaksanaan layanan TIK belum maksimal. Beberapa sekolah belum memiliki fasilitas
penunjang untuk melaksanakan layanan bimbingan TIK seperti masih kurangnya perangkat …
penunjang untuk melaksanakan layanan bimbingan TIK seperti masih kurangnya perangkat …
Deep learning‐and image processing‐based methods for automatic estimation of leaf herbivore damage
Quantifying the intensity of leaf herbivory pressure is crucial for understanding the
interaction between plants and herbivores in both applied and basic science. Visual …
interaction between plants and herbivores in both applied and basic science. Visual …
Analyzing trait‐climate relationships within and among taxa using machine learning and herbarium specimens
BC Wilde, JG Bragg, W Cornwell - American Journal of Botany, 2023 - Wiley Online Library
Premise Continental‐scale leaf trait studies can help explain how plants survive in different
environments, but large data sets are costly to assemble at this scale. Automating the …
environments, but large data sets are costly to assemble at this scale. Automating the …
A method for the detection and reconstruction of foliar damage caused by predatory insects
GDS Vieira, NM de Sousa, B Rocha… - 2021 IEEE 45th …, 2021 - ieeexplore.ieee.org
Management of agricultural production and rural activities has been supported by
recognizing machine learning patterns and algorithms, as in the automation of leaf analysis …
recognizing machine learning patterns and algorithms, as in the automation of leaf analysis …