AIMC Topic: Oryza

Clear Filters Showing 71 to 80 of 128 articles

A convolution based computational approach towards DNA N6-methyladenine site identification and motif extraction in rice genome.

Scientific reports May 14, 2021
DNA N6-methylation (6mA) in Adenine nucleotide is a post replication modification responsible for many biological functions. Automated and accurate computational methods can help to identify 6mA sites in long genomes saving significant time and money...
Genome, Plant Amino Acid Motifs Neural Networks, Computer Oryza Adenine Epigenomics DNA Methylation Epigenesis, Genetic
View on PubMed DOI

Rice leaf diseases prediction using deep neural networks with transfer learning.

Environmental research May 11, 2021
Rice (Oryza sativa) is a principal cereal crop in the world. It is consumed by greater than half of the world's population as a staple food for energy source. The yield production quantity and quality of the rice grain is affecting by abiotic and bio...
Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Plant Leaves Deep Learning Oryza
View on PubMed DOI

i6mA-VC: A Multi-Classifier Voting Method for the Computational Identification of DNA N6-methyladenine Sites.

Interdisciplinary sciences, computational life sciences Apr 8, 2021
DNA N6-methyladenine (6 mA), as an essential component of epigenetic modification, cannot be neglected in genetic regulation mechanism. The efficient and accurate prediction of 6 mA sites is beneficial to the development of biological genetics. Bioch...
Neural Networks, Computer DNA, Plant Oryza Adenine Machine Learning Epigenesis, Genetic
View on PubMed DOI

Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species.

PLoS computational biology Feb 18, 2021
N6-methyladenine (6mA) is an important DNA modification form associated with a wide range of biological processes. Identifying accurately 6mA sites on a genomic scale is crucial for under-standing of 6mA's biological functions. However, the existing ...
Binding Sites Adenine Species Specificity Fragaria DNA, Plant Arabidopsis Rosa Databases, Nucleic Acid Computational Biology Neural Networks, Computer DNA Methylation Deep Learning Oryza DNA Base Sequence
View on PubMed DOI

A deep learning-integrated micro-CT image analysis pipeline for quantifying rice lodging resistance-related traits.

Plant communications Jan 29, 2021
Lodging is a common problem in rice, reducing its yield and mechanical harvesting efficiency. Rice architecture is a key aspect of its domestication and a major factor that limits its high productivity. The ideal rice culm structure, including major_...
Plant Breeding Plant Diseases Deep Learning Phenotype Disease Resistance Oryza X-Ray Microtomography
View on PubMed DOI

Automated Counting Grains on the Rice Panicle Based on Deep Learning Method.

Sensors (Basel, Switzerland) Jan 4, 2021
Grain number per rice panicle, which directly determines grain yield, is an important agronomic trait for rice breeding and yield-related research. However, manually counting grains of rice per panicle is time-consuming, laborious, and error-prone. I...
Automation Plant Breeding Phenotype Edible Grain Deep Learning Oryza
View on PubMed DOI

A Tactile Method for Rice Plant Recognition Based on Machine Learning.

Sensors (Basel, Switzerland) Sep 9, 2020
Accurate and real-time recognition of rice plants is the premise underlying the implementation of precise weed control. However, achieving desired results in paddy fields using the traditional visual method is difficult due to the occlusion of rice l...
Machine Learning Algorithms Touch Oryza Neural Networks, Computer
View on PubMed DOI

Using Deep Convolutional Neural Networks for Image-Based Diagnosis of Nutrient Deficiencies in Rice.

Computational intelligence and neuroscience Sep 9, 2020
Symptoms of nutrient deficiencies in rice plants often appear on the leaves. The leaf color and shape, therefore, can be used to diagnose nutrient deficiencies in rice. Image classification is an efficient and fast approach for this diagnosis task. D...
Nutrients Plant Leaves Neural Networks, Computer Oryza Support Vector Machine
View on PubMed DOI

Ab initio GO-based mining for non-tandem-duplicated functional clusters in three model plant diploid genomes.

PloS one Jun 19, 2020
A functional Non-Tandem Duplicated Cluster (FNTDC) is a group of non-tandem-duplicated genes that are located closer than expected by mere chance and have a role in the same biological function. The identification of secondary-compounds-related FNTDC...
Gene Duplication Signal Transduction Gene Ontology Oryza Multigene Family Vitis Plant Proteins Databases, Genetic Diploidy Genome, Plant Arabidopsis
View on PubMed DOI

PlantMirP-Rice: An Efficient Program for Rice Pre-miRNA Prediction.

Genes Jun 18, 2020
Rice microRNAs (miRNAs) are important post-transcriptional regulation factors and play vital roles in many biological processes, such as growth, development, and stress resistance. Identification of these molecules is the basis of dissecting their re...
RNA Precursors MicroRNAs Oryza Machine Learning Computational Biology
View on PubMed DOI
Popular Topics
Recent Journals