AIMC Topic: Plants

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Artificial neural networks reveal efficiency in genetic value prediction.

Genetics and molecular research : GMR Jun 18, 2015
The objective of this study was to evaluate the efficiency of artificial neural networks (ANNs) for predicting genetic value in experiments carried out in randomized blocks. Sixteen scenarios were simulated with different values of heritability (10, ...
Computer Simulation Reproducibility of Results Genotype Plants Genetics, Population Inheritance Patterns Animals Breeding Selection, Genetic Neural Networks, Computer Phenotype
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Construction of an ortholog database using the semantic web technology for integrative analysis of genomic data.

PloS one Apr 13, 2015
Recently, various types of biological data, including genomic sequences, have been rapidly accumulating. To discover biological knowledge from such growing heterogeneous data, a flexible framework for data integration is necessary. Ortholog informati...
Gene Ontology Computational Biology Genome Humans Databases, Genetic Fungi Animals Datasets as Topic Bacteria Semantics Internet Plants
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Intelligent transformation of ultrasound-assisted novel solvent extraction plant active ingredients: Tools for machine learning and deep learning.

Food chemistry Sep 15, 2025
Ultrasound-assisted novel solvent extraction enhances plant bioactive compound yield via cavitation, mechanical, and thermal mechanisms. However, the high designability of novel solvents, the multiple influence factors for extracting results, the com...
Solvents Plant Extracts Ultrasonics Machine Learning Chemical Fractionation Plants Deep Learning Ultrasonic Waves
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A critical review on occurrence, speciation, mobilization, and toxicity of per- and polyfluoroalkyl substances in the soil-microbe-plant system and bioremediation strategies.

Journal of hazardous materials Aug 15, 2025
Per- and polyfluoroalkyl substances (PFAS) are a group of recalcitrant anthropogenic compounds that are extensively utilized for numerous industrial applications globally. Despite such vast utilization, PFAS accumulation in the soils and sediments wi...
Soil Bacteria Soil Microbiology Fluorocarbons Biodegradation, Environmental Soil Pollutants Fungi Plants
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Comparing machine learning isoscapes of Sr/Sr ratios of plants on the island of Sardinia: Implications for the use of isoscapes for assessing the provenance of biological specimens.

The Science of the total environment Aug 10, 2025
Strontium isotope analysis is widely used to evaluate the provenance and mobility of biological specimens. Frequently applied in archaeology, palaeontology, ecology, forensics, and food science, strontium isotope analysis compares the Sr/Sr ratio of ...
Strontium Isotopes Machine Learning Italy Plants Environmental Monitoring
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A hybrid predictor-corrector network and spatiotemporal classifier method for noisy plant PET image classification.

Physics in medicine and biology Jul 7, 2025
. Plant Positron Emission Tomography (PET) is a new and efficient imaging technique which aims at providing a quantitative analysis of plant stress, enabling personalized crop management and maximizing productivity. However, a highly performant class...
Time Factors Positron-Emission Tomography Image Processing, Computer-Assisted Signal-To-Noise Ratio Neural Networks, Computer Plants
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Fermi calculations enable quick downselection of target genes and process optimization in photosynthetic systems.

Plant physiology Jul 3, 2025
Understanding how photosynthetic organisms including plants and microbes respond to their environment is crucial for optimizing agricultural practices and ensuring food and energy security, particularly in the context of climactic change and sustaina...
Computer Simulation Plants Photosynthesis
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Letter to the Editor regarding "Prediction of PFAS bioaccumulation in different plant tissues with machine learning models based on molecular fingerprints" by Song et al. (2024), Sci. Total Environ. 950 175091.

The Science of the total environment Jul 1, 2025
Song et al. (2024), "Prediction of PFAS bioaccumulation in different plant tissues with machine learning models based on molecular fingerprints," employed machine learning methods, such as XGBoost and SHapley Additive exPlanations (SHAP), to predict ...
Environmental Monitoring Environmental Pollutants Fluorocarbons Bioaccumulation Plants Machine Learning
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Next generation technologies for protein structure determination: challenges and breakthroughs in plant biology applications.

Journal of plant physiology Jul 1, 2025
Advancements in structural biology have significantly deepened our understanding of plant proteins, which are central to critical biological functions such as photosynthesis, metabolism, signal transduction, and structural architechture. Gaining insi...
Crystallography, X-Ray Protein Conformation Plants Plant Proteins Magnetic Resonance Spectroscopy Cryoelectron Microscopy Mass Spectrometry
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Efficient estimation of plant species diversity in desert regions using UAV-based quadrats and advanced machine learning techniques.

Journal of environmental management Jun 1, 2025
Understanding the distribution of plant species diversity(PSD) along spatial and environmental gradients is essential for implementing effective conservation strategies. However, effective monitoring of large-scale PSD in desert regions remain challe...
Plants Biodiversity Unmanned Aerial Devices Conservation of Natural Resources Desert Climate China Machine Learning Algorithms
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