Journal of Cotton Research2025，Vol.8Issue(2)：P.228-241,14.DOI:10.1186/s42397-025-00222-4
Machine learning models for optimization, validation, and prediction of light emitting diodes with kinetin based basal medium for in vitro regeneration of upland cotton (Gossypium hirsutum L.)
ÖZKAT Gözde Yalçın 1AASIM Muhammad 2BAKHSH Allah 3ALI Seyid Amjad 4ÖZCAN Sebahattin5
作者信息
- 1. Department of Bioengineering,Faculty of Engineering,Recep Tayyip Erdogan University,Rize 53020,Türkiye
- 2. Department of Plant Protection,Faculty of Agricultural Sciences and Technology,Sivas University of Science and Technology,Sivas 58000,Türkiye
- 3. Centre of Excellence in Molecular Biology,University of the Punjab,Lahore 53700,Pakistan
- 4. Department of Information Systems and Technologies,Bilkent University,Ankara 06800,Türkiye
- 5. Department of Field Crops,Faculty of Agriculture,Ankara University,Ankara 06110,Türkiye
- 折叠
摘要
关键词
Machine learning/Cotton/In vitro regeneration/Light emitting diodes/Optimization/Kinetin分类
农业科技引用本文复制引用
ÖZKAT Gözde Yalçın,AASIM Muhammad,BAKHSH Allah,ALI Seyid Amjad,ÖZCAN Sebahattin..Machine learning models for optimization, validation, and prediction of light emitting diodes with kinetin based basal medium for in vitro regeneration of upland cotton (Gossypium hirsutum L.)[J].Journal of Cotton Research,2025,8(2):P.228-241,14.
