AIMC Topic: Plants

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ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture.

GigaScience Jul 20, 2021
BACKGROUND: Deep learning methods have outperformed previous techniques in most computer vision tasks, including image-based plant phenotyping. However, massive data collection of root traits and the development of associated artificial intelligence ...
Neural Networks, Computer Phenotype Artificial Intelligence Plant Roots Plants
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Recent developments and potential of robotics in plant eco-phenotyping.

Emerging topics in life sciences May 21, 2021
Automated acquisition of plant eco-phenotypic information can serve as a decision-making basis for precision agricultural management and can also provide detailed insights into plant growth status, pest management, water and fertilizer management for...
Plants Automation Artificial Intelligence Agriculture Robotics
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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...
Phenotype Plants Stress, Physiological Machine Learning Plant Development
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Brief Survey on Machine Learning in Epistasis.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2021
In biology, the term "epistasis" indicates the effect of the interaction of a gene with another gene. A gene can interact with an independently sorted gene, located far away on the chromosome or on an entirely different chromosome, and this interacti...
Humans Machine Learning Polymorphism, Single Nucleotide Computational Biology Crohn Disease Phenotype Neoplasms Genome-Wide Association Study Epistasis, Genetic Quantitative Trait, Heritable Data Mining Inheritance Patterns Plants Alzheimer Disease Macular Degeneration Genome, Human
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Multi-Target Deep Learning for Algal Detection and Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Water quality has a direct impact on industry, agriculture, and public health. Algae species are common indicators of water quality. It is because algal communities are sensitive to changes in their habitats, giving valuable knowledge on variations i...
Water Quality Agriculture Plants Microscopy Deep Learning
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Deep Residual Neural Networks Resolve Quartet Molecular Phylogenies.

Molecular biology and evolution May 1, 2020
Phylogenetic inference is of fundamental importance to evolutionary as well as other fields of biology, and molecular sequences have emerged as the primary data for this task. Although many phylogenetic methods have been developed to explicitly take ...
Deep Learning Plants Mammals Luminescent Proteins Red Fluorescent Protein Software Animals Phylogeny
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Machine learning and its applications in plant molecular studies.

Briefings in functional genomics Jan 22, 2020
The advent of high-throughput genomic technologies has resulted in the accumulation of massive amounts of genomic information. However, biologists are challenged with how to effectively analyze these data. Machine learning can provide tools for bette...
Stress, Physiological Plant Physiological Phenomena Machine Learning Algorithms Genomics Plants Plant Diseases
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An Overview on Predicting Protein Subchloroplast Localization by using Machine Learning Methods.

Current protein & peptide science Jan 1, 2020
The chloroplast is a type of subcellular organelle of green plants and eukaryotic algae, which plays an important role in the photosynthesis process. Since the function of a protein correlates with its location, knowing its subchloroplast localizatio...
Machine Learning Chloroplasts Computational Biology Protein Transport Proteome Plants Gene Expression Regulation, Plant Models, Statistical Amino Acid Sequence Chloroplast Proteins Datasets as Topic
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PVsiRNAPred: Prediction of plant exclusive virus-derived small interfering RNAs by deep convolutional neural network.

Journal of bioinformatics and computational biology Dec 1, 2019
Plant exclusive virus-derived small interfering RNAs (vsiRNAs) regulate various biological processes, especially important in antiviral immunity. The identification of plant vsiRNAs is important for understanding the biogenesis and function mechanism...
RNA, Small Interfering ROC Curve Plants Plant Viruses Computational Biology Host-Pathogen Interactions Databases, Genetic Neural Networks, Computer Algorithms
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NetGO: improving large-scale protein function prediction with massive network information.

Nucleic acids research Jul 2, 2019
Automated function prediction (AFP) of proteins is of great significance in biology. AFP can be regarded as a problem of the large-scale multi-label classification where a protein can be associated with multiple gene ontology terms as its labels. Bas...
Sequence Analysis, Protein Computational Biology Prokaryotic Cells Proteins Benchmarking Databases, Protein Protein Interaction Mapping Humans Plants Sequence Alignment Software Machine Learning Amino Acid Sequence Sequence Homology, Amino Acid Animals Structure-Activity Relationship Molecular Sequence Annotation Models, Molecular Gene Ontology Internet
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