AIMC Topic: Plants

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Machine Learning for Plant Phenotyping Needs Image Processing.

Trends in plant science Oct 31, 2016
Machine Learning Image Processing, Computer-Assisted Plants
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Hybrid Artificial Root Foraging Optimizer Based Multilevel Threshold for Image Segmentation.

Computational intelligence and neuroscience Sep 20, 2016
This paper proposes a new plant-inspired optimization algorithm for multilevel threshold image segmentation, namely, hybrid artificial root foraging optimizer (HARFO), which essentially mimics the iterative root foraging behaviors. In this algorithm ...
Artificial Intelligence Algorithms Plants Image Interpretation, Computer-Assisted Computer Simulation Pattern Recognition, Automated Plant Physiological Phenomena
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DRPPP: A machine learning based tool for prediction of disease resistance proteins in plants.

Computers in biology and medicine Sep 13, 2016
Plant disease outbreak is increasing rapidly around the globe and is a major cause for crop loss worldwide. Plants, in turn, have developed diverse defense mechanisms to identify and evade different pathogenic microorganisms. Early identification of ...
Support Vector Machine Models, Statistical Plants Computational Biology Plant Proteins Disease Resistance
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Prediction of bacterial associations with plants using a supervised machine-learning approach.

Environmental microbiology Jun 27, 2016
Recent scenarios of fresh produce contamination by human enteric pathogens have resulted in severe food-borne outbreaks, and a new paradigm has emerged stating that some human-associated bacteria can use plants as secondary hosts. As a consequence, t...
Vegetables Humans Machine Learning Foodborne Diseases Bacteria Plants Fruit
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Machine Learning and Computer Vision System for Phenotype Data Acquisition and Analysis in Plants.

Sensors (Basel, Switzerland) May 5, 2016
Phenomics is a technology-driven approach with promising future to obtain unbiased data of biological systems. Image acquisition is relatively simple. However data handling and analysis are not as developed compared to the sampling capacities. We pre...
Artificial Intelligence Algorithms Bayes Theorem Plants Phenotype Support Vector Machine
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g:Profiler-a web server for functional interpretation of gene lists (2016 update).

Nucleic acids research Apr 20, 2016
Functional enrichment analysis is a key step in interpreting gene lists discovered in diverse high-throughput experiments. g:Profiler studies flat and ranked gene lists and finds statistically significant Gene Ontology terms, pathways and other gene ...
Gene Ontology Binding Sites Vertebrates Computer Graphics Gene Expression Regulation Molecular Sequence Annotation Fungi Insecta User-Computer Interface Protein Binding Internet Plants Animals Humans Transcription Factors Gene Expression Profiling
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Ecological systems as computer networks: Long distance sea dispersal as a communication medium between island plant populations.

Bio Systems Apr 6, 2016
Ecological systems are known to exchange genetic material through animal species migration and seed dispersal for plants. Isolated plant populations have developed long distance dispersal as a means of propagation which rely on meteorological such as...
Ecosystem Plants Animal Migration Communication Animals Seed Dispersal Oceans and Seas Islands Neural Networks, Computer
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Machine Learning for High-Throughput Stress Phenotyping in Plants.

Trends in plant science Dec 1, 2015
Advances in automated and high-throughput imaging technologies have resulted in a deluge of high-resolution images and sensor data of plants. However, extracting patterns and features from this large corpus of data requires the use of machine learnin...
Stress, Physiological Breeding Machine Learning Plants Phenotype High-Throughput Screening Assays
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IAS: Interaction Specific GO Term Associations for Predicting Protein-Protein Interaction Networks.

IEEE/ACM transactions on computational biology and bioinformatics Sep 25, 2015
Proteins carry out their function in a cell through interactions with other proteins. A large scale protein-protein interaction (PPI) network of an organism provides static yet an essential structure of interactions, which is valuable clue for unders...
Systems Biology Protein Interaction Mapping Fungi Animals Proteins Humans Gene Ontology Protein Interaction Maps Plants
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Superiority of artificial neural networks for a genetic classification procedure.

Genetics and molecular research : GMR Aug 19, 2015
The correct classification of individuals is extremely important for the preservation of genetic variability and for maximization of yield in breeding programs using phenotypic traits and genetic markers. The Fisher and Anderson discriminant function...
Models, Genetic Artificial Intelligence Breeding Discriminant Analysis Genotype Plants Humans Neural Networks, Computer
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