Broad‐scale applications of the Raspberry Pi: A review and guide for biologists
JW Jolles - Methods in Ecology and Evolution, 2021 - Wiley Online Library
The field of biology has seen tremendous technological progress in recent years, fuelled by
the exponential growth in processing power and high‐level computing, and the rise of global …
the exponential growth in processing power and high‐level computing, and the rise of global …
Plant growth: the what, the how, and the why
Growth is a widely used term in plant science and ecology, but it can have different
meanings depending on the context and the spatiotemporal scale of analysis. At the …
meanings depending on the context and the spatiotemporal scale of analysis. At the …
[HTML][HTML] New sensors and data-driven approaches—A path to next generation phenomics
Abstract At the 4th International Plant Phenotyping Symposium meeting of the International
Plant Phenotyping Network (IPPN) in 2016 at CIMMYT in Mexico, a workshop was convened …
Plant Phenotyping Network (IPPN) in 2016 at CIMMYT in Mexico, a workshop was convened …
Condensation of Rubisco into a proto-pyrenoid in higher plant chloroplasts
N Atkinson, Y Mao, KX Chan, AJ McCormick - Nature Communications, 2020 - nature.com
Photosynthetic CO2 fixation in plants is limited by the inefficiency of the CO2-assimilating
enzyme Rubisco. In most eukaryotic algae, Rubisco aggregates within a microcompartment …
enzyme Rubisco. In most eukaryotic algae, Rubisco aggregates within a microcompartment …
Rapid fabrication of wearable carbon nanotube/graphite strain sensor for real-time monitoring of plant growth
W Tang, T Yan, F Wang, J Yang, J Wu, J Wang, T Yue… - Carbon, 2019 - Elsevier
Quantitative and precise measurement of plant growth is the foundation for the
understanding of mechanisms that regulate the growth of plant. Plant growth is a highly …
understanding of mechanisms that regulate the growth of plant. Plant growth is a highly …
Pheno‐deep counter: A unified and versatile deep learning architecture for leaf counting
Direct observation of morphological plant traits is tedious and a bottleneck for high‐
throughput phenotyping. Hence, interest in image‐based analysis is increasing, with the …
throughput phenotyping. Hence, interest in image‐based analysis is increasing, with the …
Pitfalls and potential of high-throughput plant phenotyping platforms
Automated high-throughput plant phenotyping (HTPP) enables non-invasive, fast and
standardized evaluations of a large number of plants for size, development, and certain …
standardized evaluations of a large number of plants for size, development, and certain …
Doing more with less: a multitask deep learning approach in plant phenotyping
Image-based plant phenotyping has been steadily growing and this has steeply increased
the need for more efficient image analysis techniques capable of evaluating multiple plant …
the need for more efficient image analysis techniques capable of evaluating multiple plant …
Leaf economics and slow-fast adaptation across the geographic range of Arabidopsis thaliana
Life history strategies of most organisms are constrained by resource allocation patterns that
follow a 'slow-fast continuum'. It opposes slow growing and long-lived organisms with late …
follow a 'slow-fast continuum'. It opposes slow growing and long-lived organisms with late …
A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth
Background Tracking and predicting the growth performance of plants in different
environments is critical for predicting the impact of global climate change. Automated …
environments is critical for predicting the impact of global climate change. Automated …