AIMC Topic: Plant Development

Clear Filters Showing 11 to 19 of 19 articles

Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques.

Scientific reports
Plant-based sensing on water stress can provide sensitive and direct reference for precision irrigation system in greenhouse. However, plant information acquisition, interpretation, and systematical application remain insufficient. This study develop...

Synergistic potential of halophytes and halophilic/halotolerant plant growth-promoting bacteria in saline soil remediation: Adaptive mechanisms, challenges, and sustainable solutions.

Microbiological research
Salinity stress poses significant challenges to agriculture, reducing productivity and limiting arable land by causing ionic and osmotic imbalances in plants, disrupting physiological processes, and leading to soil degradation over time. Halophytes a...

Investigating plant morphogenesis using 3D digital organs.

Journal of experimental botany
How plant organs acquire their three-dimensional (3D) size and shape remains a prominent question in plant biology. Central questions revolve around how differential gene activity influences the growth of individual cell assemblies and how such growt...

Snow Height Sensors Reveal Phenological Advance in Alpine Grasslands.

Global change biology
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
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
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
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
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.)
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...