Application of Supervised Machine Learning Models with Inter Simple Sequence Repeat Markers for Prediction of Grass Species DOI
Reza Mohammadi, Bahman Panahi,

Saleh Amiri

et al.

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 101 - 108

Published: Jan. 1, 2024

Language: Английский

Leveraging multi-omics and machine learning approaches in malting barley research: From farm cultivation to the final products DOI Creative Commons
Bahman Panahi, Nahid Hosseinzadeh Gharajeh,

Hossein Mohammadzadeh Jalaly

et al.

Current Plant Biology, Journal Year: 2024, Volume and Issue: 39, P. 100362 - 100362

Published: June 22, 2024

This study focuses on the potential of multi-omics and machine learning approaches in improving our understanding malting processes cultivation systems barley. The omics approach has been used to explore biomarkers associated with desired sensory characteristics barley, enabling applications specific treatments modify diastatic power, enzyme activity, color, aroma compounds. Moreover, integration barley researches significantly enhanced knowledge physiology, cultivation, processing for more efficient sustainable production industry. cutting-edge vision high-throughput phenotyping technologies additionally revolutionize assessment physical biochemical traits In addition, harnessing integrative predict consumer acceptability, assess physicochemical colorimetric properties malt extracts discussed. Current survey showed that ML-driven predictive maintenance is revolutionizing industry by not only enhancing equipment performance but also minimizing operational costs reducing unplanned downtime. promises advancements opens avenues future

Language: Английский

Citations

8
Using next-generation sequencing approach for discovery and characterization of plant molecular markers DOI Creative Commons
Bahman Panahi,

Hossein Mohammadzadeh Jalaly,

Rasmieh Hamid

et al.

Current Plant Biology, Journal Year: 2024, Volume and Issue: 40, P. 100412 - 100412

Published: Nov. 6, 2024

Language: Английский

Citations

4
Assessment of potato varieties of Lithuanian breeding resistance potato wart causative agents and late blight DOI Creative Commons
Rita Asakavičiūtė, A. Zelya, Audrius Kačergius

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 18, 2025

Language: Английский

Citations

0
Deciphering Plant Transcriptomes: Leveraging Machine Learning for Deeper Insights DOI Creative Commons
Bahman Panahi, Rasmieh Hamid,

Hossein Mohammad Zadeh Jalaly

et al.

Current Plant Biology, Journal Year: 2024, Volume and Issue: unknown, P. 100432 - 100432

Published: Dec. 1, 2024

Language: Английский

Citations

3
Application of Supervised Machine Learning Models with Inter Simple Sequence Repeat Markers for Prediction of Grass Species DOI
Reza Mohammadi, Bahman Panahi,

Saleh Amiri

et al.

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 101 - 108

Published: Jan. 1, 2024

Language: Английский

Citations

0