From leaves to labels: Building modular machine learning networks for rapid herbarium specimen analysis with LeafMachine2

Automatic Extraction of Specimens from Multi-specimen Herbaria

(2023) Kenzo Milleville et al.   ACM Journal on Computing and Cultural Heritage

Knowledge monopolies and the innovation divide: A governance perspective

(2023) Hani Safadi et al.   Information and Organization

FieldPrism: A system for creating snapshot vouchers from field images using photogrammetric markers and QR codes

(2023) William N. Weaver et al.   Applications in Plant Sciences

Rapid imaging in the field followed by photogrammetry digitally captures the otherwise lost dimensions of plant specimens

(2023) Nicole James et al.   Applications in Plant Sciences

Can Artificial Intelligence Help in the Study of Vegetative Growth Patterns from Herbarium Collections? An Evaluation of the Tropical Flora of the French Guiana Forest

(2022) Hervé Goëau et al.   Plants-Basel

Batch-Mask: Automated image segmentation for organisms with limbless or non-standard body forms

(2022) John David Curlis et al.   INTEGRATIVE AND COMPARATIVE BIOLOGY

A deep neural network for high‐throughput measurement of functional traits on museum skeletal specimens

(2022) Brian C. Weeks et al.   Methods in Ecology and Evolution

Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning

(2022) Hjalte M. R. Mann et al.   Remote Sensing in Ecology and Conservation

Digital Extended Specimens: Enabling an Extensible Network of Biodiversity Data Records as Integrated Digital Objects on the Internet

(2022) Alex R Hardisty et al.   BIOSCIENCE

Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review

(2022) Burhan Rashid Hussein et al.   Ecological Informatics

An approach for characterization of infected area in tomato leaf disease based on deep learning and object detection technique

(2022) Prabhjot Kaur et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

BCMask: a finer leaf instance segmentation with bilayer convolution mask

(2022) Xingjian Gu et al.   MULTIMEDIA SYSTEMS

Computational metadata generation methods for biological specimen image collections

(2022) Kevin Karnani et al.   International Journal on Digital Libraries

Changes in plant collection practices from the 16 th to 21 st centuries: implications for the use of herbarium specimens in global change research

(2021) Mikhail V Kozlov et al.   ANNALS OF BOTANY

Reconstruction of damaged herbarium leaves using deep learning techniques for improving classification accuracy

(2021) Burhan Rashid Hussein et al.   Ecological Informatics

Automated Extraction of Phenotypic Leaf Traits of Individual Intact Herbarium Leaves from Herbarium Specimen Images Using Deep Learning Based Semantic Segmentation

(2021) Burhan Rashid Hussein et al.   SENSORS

Bias assessments to expand research harnessing biological collections

(2021) Emily K. Meineke et al.   TRENDS IN ECOLOGY & EVOLUTION

DPD-DS for plant disease detection based on instance segmentation

(2021) Ramanadham Kavitha Lakshmi et al.   Journal of Ambient Intelligence and Humanized Computing

Comprehensive leaf size traits dataset for seven plant species from digitised herbarium specimen images covering more than two centuries

(2021) Vamsi Krishna Kommineni et al.   Biodiversity Data Journal

Herbaria as Big Data Sources of Plant Traits

(2021) J. Mason Heberling   INTERNATIONAL JOURNAL OF PLANT SCIENCES

Deep leaf: Mask R-CNN based leaf detection and segmentation from digitized herbarium specimen images

(2021) Abdelaziz Triki et al.   PATTERN RECOGNITION LETTERS

GinJinn2: Object detection and segmentation for ecology and evolution

(2021) Tankred Ott et al.   Methods in Ecology and Evolution

Machine Learning Undercounts Reproductive Organs on Herbarium Specimens but Accurately Derives Their Quantitative Phenological Status: A Case Study of Streptanthus tortuosus

(2021) Natalie L. R. Love et al.   Plants-Basel

Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research

(2020) Katelin D Pearson et al.   BIOSCIENCE

Schrödinger’s phenotypes: herbarium specimens show two‐dimensional images are both good and (not so) bad sources of morphological data

(2020) Leonardo M. Borges et al.   Methods in Ecology and Evolution

A New Method for Counting Reproductive Structures in Digitized Herbarium Specimens Using Mask R-CNN

(2020) Charles C. Davis et al.   Frontiers in Plant Science

GinJinn: An object‐detection pipeline for automated feature extraction from herbarium specimens

(2020) Tankred Ott et al.   Applications in Plant Sciences

Applying machine learning to investigate long‐term insect–plant interactions preserved on digitized herbarium specimens

(2020) Emily K. Meineke et al.   Applications in Plant Sciences

A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction

(2020) Hervé Goëau et al.   Applications in Plant Sciences

LeafMachine: Using machine learning to automate leaf trait extraction from digitized herbarium specimens

(2020) William N. Weaver et al.   Applications in Plant Sciences

Detection and annotation of plant organs from digitised herbarium scans using deep learning

(2020) Sohaib Younis et al.   Biodiversity Data Journal

The Extended Specimen Network: A Strategy to Enhance US Biodiversity Collections, Promote Research and Education

(2019) James Lendemer et al.   BIOSCIENCE

Plant diseased leaf segmentation and recognition by fusion of superpixel, K-means and PHOG

(2018) Shanwen Zhang et al.   OPTIK

Widespread sampling biases in herbaria revealed from large-scale digitization

(2017) Barnabas H. Daru et al.   NEW PHYTOLOGIST

Old Plants, New Tricks: Phenological Research Using Herbarium Specimens

(2017) Charles G. Willis et al.   TRENDS IN ECOLOGY & EVOLUTION

Evolutionary and Environmental Forces Sculpting Leaf Development

(2016) Daniel H. Chitwood et al.   CURRENT BIOLOGY

Easy Leaf Area: Automated Digital Image Analysis for Rapid and Accurate Measurement of Leaf Area

(2014) Hsien Ming Easlon et al.   Applications in Plant Sciences

LeafJ: An ImageJ Plugin for Semi-automated Leaf Shape Measurement

(2013) Julin N. Maloof et al.   Jove-Journal of Visualized Experiments