AIMC Topic: Plants
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Unlocking the potential of essential oils in aromatic plants: a guide to recovery, modern innovations, regulation and AI integration.
Planta
May 25, 2025
Essential oils recovered from aromatic plants hold tremendous potential across diverse fields, which include therapeutic, industrial, and technological domains. Integrating advanced recovery techniques, regulatory frameworks, and AI-driven innovation...
Precise genome editing process and its applications in plants driven by AI.
Functional & integrative genomics
May 24, 2025
Genome editing technologies have emerged as the keystone of biotechnological research, enabling precise gene modification. The field has evolved rapidly through revolutionary advancements, transitioning from early explorations to the breakthrough of ...
Robotic monitoring of European habitats: a labeled dataset for plant detection in Annex I habitats of Italy.
Scientific data
May 20, 2025
The present data descriptor presents a dataset designed for the detection of plant species in various habitats of the European Union. This dataset is based on images captured using multiple different hardware including quadrupedal robot ANYmal C, ref...
AdapTree: Data-Driven Approach to Assessing Plant Stress Through the AI-Sensor Synergy.
Sensors (Basel, Switzerland)
May 16, 2025
This study investigates plant stress assessment by integrating advanced sensor technologies and Artificial Intelligence (AI). Multi-sensor data-including electrical impedance spectroscopy, temperature, and humidity-were used to capture plant physiolo...
PLM-DBPs: enhancing plant DNA-binding protein prediction by integrating sequence-based and structure-aware protein language models.
Briefings in bioinformatics
May 1, 2025
DNA-binding proteins (DBPs) play a crucial role in gene regulation, development, and environmental responses across plants, animals, and microorganisms. Existing DBP prediction methods are largely limited to sequence information, whether through hand...
Post-composing ontology terms for efficient phenotyping in plant breeding.
Database : the journal of biological databases and curation
Mar 21, 2025
Ontologies are widely used in databases to standardize data, improving data quality, integration, and ease of comparison. Within ontologies tailored to diverse use cases, post-composing user-defined terms reconciles the demands for standardization on...
PTFSpot: deep co-learning on transcription factors and their binding regions attains impeccable universality in plants.
Briefings in bioinformatics
May 23, 2024
Unlike animals, variability in transcription factors (TFs) and their binding regions (TFBRs) across the plants species is a major problem that most of the existing TFBR finding software fail to tackle, rendering them hardly of any use. This limitatio...
PlantC2U: deep learning of cross-species sequence landscapes predicts plastid C-to-U RNA editing in plants.
Journal of experimental botany
Apr 15, 2024
In plants, C-to-U RNA editing mainly occurs in plastid and mitochondrial transcripts, which contributes to a complex transcriptional regulatory network. More evidence reveals that RNA editing plays critical roles in plant growth and development. Howe...
Rise of the machines: artificial intelligence in plant science and publishing.
Trends in plant science
Feb 1, 2024
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