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

Deep learning and computer vision will transform entomology

(2021) Toke T. Høye et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Assessing the potential for deep learning and computer vision to identify bumble bee species from images

(2021) Brian J. Spiesman et al.   Scientific Reports

DeepPhenology: Estimation of apple flower phenology distributions based on deep learning

(2021) Xu (Annie) Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Experimental warming differentially affects vegetative and reproductive phenology of tundra plants

(2021) Courtney G. Collins et al.   Nature Communications

Changing Climate Drives Divergent and Nonlinear Shifts in Flowering Phenology across Elevations

(2020) Nicole E. Rafferty et al.   CURRENT BIOLOGY

Climate change fingerprints in recent European plant phenology

(2020) Annette Menzel et al.   GLOBAL CHANGE BIOLOGY

Complexity revealed in the greening of the Arctic

(2020) Isla H. Myers-Smith et al.   Nature Climate Change

Machine Learning Using Digitized Herbarium Specimens to Advance Phenological Research

(2020) Katelin D Pearson et al.   BIOSCIENCE

Recent trends and remaining challenges for optical remote sensing of Arctic tundra vegetation: A review and outlook

(2020) Alison Beamish et al.   REMOTE SENSING OF ENVIRONMENT

DeepFlower: a deep learning-based approach to characterize flowering patterns of cotton plants in the field

(2020) Yu Jiang et al.   Plant Methods

Applications for deep learning in ecology

(2019) Sylvain Christin et al.   Methods in Ecology and Evolution

Detection of autumn leaf phenology and color brightness from repeat photography: Accurate, robust, and sensitive indexes and modeling under unstable field observations

(2019) Dai Koide et al.   ECOLOGICAL INDICATORS

Faster R-CNN for multi-class fruit detection using a robotic vision system

(2019) Shaohua Wan et al.   Computer Networks

Patchy field sampling biases understanding of climate change impacts across the Arctic

(2018) Daniel B. Metcalfe et al.   Nature Ecology & Evolution

The spatial and temporal domains of modern ecology

(2018) Lyndon Estes et al.   Nature Ecology & Evolution

Acceleration of phenological advance and warming with latitude over the past century

(2018) Eric Post et al.   Scientific Reports

Does climate change and plant phenology research neglect the Arctic tundra?

(2018) Rianne A. E. Diepstraten et al.   Ecosphere

Phenology as a process rather than an event: from individual reaction norms to community metrics

(2018) Brian D. Inouye et al.   ECOLOGICAL MONOGRAPHS

Warming shortens flowering seasons of tundra plant communities

(2018) Janet S. Prevéy et al.   Nature Ecology & Evolution

Greater temperature sensitivity of plant phenology at colder sites: implications for convergence across northern latitudes

(2017) Janet Prevéy et al.   GLOBAL CHANGE BIOLOGY

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A computer vision for animal ecology

(2017) Ben G. Weinstein   JOURNAL OF ANIMAL ECOLOGY

Using phenocams to monitor our changing Earth: toward a global phenocam network

(2016) Tim B Brown et al.   FRONTIERS IN ECOLOGY AND THE ENVIRONMENT

Phenological sensitivity to climate across taxa and trophic levels

(2016) Stephen J. Thackeray et al.   NATURE

Emerging opportunities and challenges in phenology: a review

(2016) Jianwu Tang et al.   Ecosphere

Emerging Technologies to Conserve Biodiversity

(2015) Stuart L. Pimm et al.   TRENDS IN ECOLOGY & EVOLUTION

Phenological response of tundra plants to background climate variation tested using the International Tundra Experiment

(2013) S. F. Oberbauer et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Advancing the long view of ecological change in tundra systems

(2013) E. Post et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Divergent responses to spring and winter warming drive community level flowering trends

(2012) B. I. Cook et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

How well do first flowering dates measure plant responses to climate change? The effects of population size and sampling frequency

(2008) Abraham J. Miller-Rushing et al.   JOURNAL OF ECOLOGY