AIMC Topic: Plant Development
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Snow Height Sensors Reveal Phenological Advance in Alpine Grasslands.
Global change biology
May 1, 2025
Long-term phenological data in alpine regions are often limited to a few locations and thus, little is known about climate-change-induced plant phenological shifts above the treeline. Because plant growth initiation in seasonally snow-covered regions...
An efficient deep learning based predictor for identifying miRNA-triggered phasiRNA loci in plant.
Mathematical biosciences and engineering : MBE
Feb 7, 2023
Phasic small interfering RNAs are plant secondary small interference RNAs that typically generated by the convergence of miRNAs and polyadenylated mRNAs. A growing number of studies have shown that miRNA-initiated phasiRNA plays crucial roles in regu...
High-throughput image segmentation and machine learning approaches in the plant sciences across multiple scales.
Emerging topics in life sciences
May 21, 2021
Agriculture has benefited greatly from the rise of big data and high-performance computing. The acquisition and analysis of data across biological scales have resulted in strategies modeling inter- actions between plant genotype and environment, mode...
A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth.
GigaScience
May 1, 2019
BACKGROUND: Tracking and predicting the growth performance of plants in different environments is critical for predicting the impact of global climate change. Automated approaches for image capture and analysis have allowed for substantial increases ...
The plant perceptron connects environment to development.
Nature
Mar 15, 2017
Plants cope with the environment in a variety of ways, and ecological analyses attempt to capture this through life-history strategies or trait-based categorization. These approaches are limited because they treat the trade-off mechanisms that underl...
The Plant Ontology: A Tool for Plant Genomics.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2016
The use of controlled, structured vocabularies (ontologies) has become a critical tool for scientists in the post-genomic era of massive datasets. Adoption and integration of common vocabularies and annotation practices enables cross-species comparat...
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