AIMC Topic: Triticum

Clear Filters Showing 61 to 70 of 86 articles

An efficient swarm intelligence approach to feature selection based on invasive weed optimization: Application to multivariate calibration and classification using spectroscopic data.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 12, 2018
Variable selection plays a key role in classification and multivariate calibration. Variable selection methods are aimed at choosing a set of variables, from a large pool of available predictors, relevant to the analyte concentrations estimation, or ...
Least-Squares Analysis Triticum Wine Algorithms Plant Weeds Introduced Species Calibration Gasoline Artificial Intelligence
View on PubMed DOI

Grain classifier with computer vision using adaptive neuro-fuzzy inference system.

Journal of the science of food and agriculture Mar 6, 2017
BACKGROUND: A computer vision-based classifier using an adaptive neuro-fuzzy inference system (ANFIS) is designed for classifying wheat grains into bread or durum. To train and test the classifier, images of 200 wheat grains (100 for bread and 100 fo...
Neural Networks, Computer Fuzzy Logic Photography Triticum
View on PubMed DOI

Modeling of glucose release from native and modified wheat starch gels during in vitro gastrointestinal digestion using artificial intelligence methods.

International journal of biological macromolecules Jan 20, 2017
Estimation of the amounts of glucose release (AGR) during gastrointestinal digestion can be useful to identify food of potential use in the diet of individuals with diabetes. In this work, adaptive neuro-fuzzy inference system (ANFIS), genetic algori...
Gels Gastrointestinal Tract Digestion Models, Biological Starch Triticum Neural Networks, Computer Glucose
View on PubMed DOI

Protease inhibitors in various flours and breads: Effect of fermentation, baking and in vitro digestion on trypsin and chymotrypsin inhibitory activities.

Food chemistry Dec 18, 2016
In this study trypsin (TIA) and chymotrypsin inhibitory (CIA) activities were determined in the extracts of wheat, rye mix, mixed cereals and, whole wheat flours and, breads made with these flours. In addition, effects of fermentation, baking and in ...
Bread Secale Fermentation Trypsin Protease Inhibitors Triticum Flour Digestion Chymotrypsin Edible Grain Cooking
View on PubMed DOI

Genome-enabled prediction using probabilistic neural network classifiers.

BMC genomics Mar 9, 2016
BACKGROUND: Multi-layer perceptron (MLP) and radial basis function neural networks (RBFNN) have been shown to be effective in genome-enabled prediction. Here, we evaluated and compared the classification performance of an MLP classifier versus that o...
Neural Networks, Computer Phenotype Triticum Gene-Environment Interaction Zea mays ROC Curve Models, Genetic Polymorphism, Single Nucleotide Genomics Area Under Curve
View on PubMed DOI

Early detection of germinated wheat grains using terahertz image and chemometrics.

Scientific reports Feb 19, 2016
In this paper, we propose a feasible tool that uses a terahertz (THz) imaging system for identifying wheat grains at different stages of germination. The THz spectra of the main changed components of wheat grains, maltose and starch, which were obtai...
Support Vector Machine Neural Networks, Computer Principal Component Analysis Terahertz Spectroscopy Time Factors Germination Least-Squares Analysis Triticum
View on PubMed DOI

Virtual Hydrolysis-Based Screening of Wheat-Derived DPP-IV Inhibitory Peptides: A Mechanistic Analysis Integrating Cell Experiments and Molecular Dynamics Simulations.

Journal of agricultural and food chemistry Aug 6, 2025
Dipeptidyl peptidase-IV (DPP-IV) inhibitors play a critical role in the treatment of diabetes and metabolic diseases. This study combines computational simulations with experimental validation to identify peptides with potential DPP-IV inhibitory act...
Humans Peptides Triticum Plant Proteins Dipeptidyl Peptidase 4 Amino Acid Sequence Dipeptidyl-Peptidase IV Inhibitors Hydrolysis Molecular Dynamics Simulation
View on PubMed DOI

Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi-kernel genomic prediction models integrating secondary traits and environmental covariates.

The plant genome Jun 1, 2025
Achieving significant genetic gains in grain yield (GY) in wheat (Triticum aestivum L.) requires optimization of the key biomass partitioning traits such as spike partitioning index (SPI) and fruiting efficiency (FE). However, traditional manual phen...
Edible Grain Phenotype Plant Breeding Biomass Models, Genetic Genomics Triticum
View on PubMed DOI

Harnessing artificial intelligence for advancements in Rice / wheat functional food Research and Development.

Food research international (Ottawa, Ont.) May 1, 2025
In recent years, the research and development (R&D) of rice and wheat functional foods has attracted a widespread attention from food researchers, driven by the increasing global food consumption and growing consumer demand for healthier and safer fo...
Artificial Intelligence Food Handling Machine Learning Functional Food Triticum Oryza Humans Food Quality Food Technology
View on PubMed DOI

WheatGP, a genomic prediction method based on CNN and LSTM.

Briefings in bioinformatics Mar 4, 2025
Wheat plays a crucial role in ensuring food security. However, its complex genetic structure and trait variation pose significant challenges for breeding superior varieties. In this study, a genomic prediction method for wheat (WheatGP) is proposed. ...
Neural Networks, Computer Phenotype Triticum Genomics Genome, Plant Models, Genetic Plant Breeding
View on PubMed DOI
Popular Topics
Recent Journals