[HTML][HTML] A review of artificial intelligence-assisted omics techniques in plant defense: current trends and future directions

S Murmu, D Sinha, H Chaurasia, S Sharma… - Frontiers in Plant …, 2024 - frontiersin.org
Plants intricately deploy defense systems to counter diverse biotic and abiotic stresses.
Omics technologies, spanning genomics, transcriptomics, proteomics, and metabolomics …

[HTML][HTML] Optimizing the In Vitro Propagation of Tea Plants: A Comparative Analysis of Machine Learning Models

T Bozkurt, S İnan, İ Dündar, MA Isak, Ö Şimşek - Horticulturae, 2024 - mdpi.com
In this study, we refine in vitro propagation techniques for Camellia sinensis using a
machine learning approach to ascertain the influence of different shooting and rooting …

OPEN ACCESS EDITED BY

M Eftekhari, IU Khan, M Soltani, J Shafi… - … learning, and deep …, 2024 - books.google.com
OPEN ACCESS EDITED BY Page 38 frontiers Frontiers in Plant Science TYPE Original
Research PUBLISHED 11 October 2023 DOI 10.3389/fpls. 2023.1212747 Check for updates …

Radiomics and Machine Learning Application in Prostate Cancer: A Review

P Onyemaechi, MO Adebiyi - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Radiomics is a rapidly growing field within medical imaging that focuses on extracting and
analyzing quantitative features from various types of medical images. These features can …

[PDF][PDF] Machine learning algorithms: their applications in plan t omics and agronomic traits' improvement [version 1; peer

I Isewon, O Apata, F Oluwamuyiwa, O Aromolaran… - 2022 - academia.edu
Agronomic traits of plants especially those of economic or aesthetic importance are
threatened by climatic and environmental factors such as climate change, biotic, and abiotic …