Application of data modeling, instrument engineering and nanomaterials in selected medid the scientific recinal plant tissue culture

B Ji, L Xuan, Y Zhang, W Mu, KY Paek, SY Park… - Plants, 2023 - mdpi.com
At present, most precious compounds are still obtained by plant cultivation such as
ginsenosides, glycyrrhizic acid, and paclitaxel, which cannot be easily obtained by artificial …

Artificial neural network and decision tree–based models for prediction and validation of in vitro organogenesis of two hydrophytes—Hemianthus callitrichoides and …

E Özcan, HH Atar, SA Ali, M Aasim - In Vitro Cellular & Developmental …, 2023 - Springer
The application of plant tissue culture protocols for aquatic plants has been widely adopted
in recent years to produce cost-effective plants for aquarium industry. In vitro regeneration …

Enhancing petunia tissue culture efficiency with machine learning: A pathway to improved callogenesis

H Rezaei, A Mirzaie-Asl, MR Abdollahi, M Tohidfar - Plos one, 2023 - journals.plos.org
The important feature of petunia in tissue culture is its unpredictable and genotype-
dependent callogenesis, posing challenges for efficient regeneration and biotechnology …

Light-emitting diodes induced in vitro regeneration of Alternanthera reineckii mini and validation via machine learning algorithms

M Aasim, SA Ali, P Bekiş, MA Nadeem - In Vitro Cellular & Developmental …, 2022 - Springer
Optimization of in vitro regeneration protocol using multiple input variables is highly
significant, and can be achieved by validating the data using machine learning algorithms …

Mathematical modeling and optimizing the in vitro shoot proliferation of wallflower using multilayer perceptron non-dominated sorting genetic algorithm-II (MLP …

F Fakhrzad, A Jowkar, J Hosseinzadeh - PLoS One, 2022 - journals.plos.org
Novel computational methods such as artificial neural networks (ANNs) can facilitate
modeling and predicting results of tissue culture experiments and thereby decrease the …

Applicability of soft computing techniques for in vitro micropropagation media simulation and optimization: A comparative study on Salvia macrosiphon Boiss

M Sadat-Hosseini, MM Arab, M Soltani… - Industrial Crops and …, 2023 - Elsevier
Plant tissue culture media composition prediction is valuable and can diminish the spending
time and costs of releasing protocols. The present study assessed the possibility of using …

Revolutionizing Plant Tissue Culture: Harnessing Artificial Intelligence for Precision Propagation and Optimization

P Kaushik, M Rani, N Khurana, P Pandey… - The Natural Products …, 2025 - benthamdirect.com
Plant tissue culture is a process of in vitro regeneration requiring numerous resources and
intensive labour to mass produce disease-free clones. Diverse factors such as sterilizing …

Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP …

M Sadat-Hosseini, MM Arab, M Soltani, M Eftekhari… - Plant Methods, 2022 - Springer
Background Optimizing plant tissue culture media is a complicated process, which is easily
influenced by genotype, mineral nutrients, plant growth regulators (PGRs), vitamins and …

Genotype-specific responses to in vitro drought stress in myrtle (Myrtus communis L.): integrating machine learning techniques

Ü Bektaş, MA Isak, T Bozkurt, D Dönmez, T İzgü… - PeerJ, 2024 - peerj.com
Background Myrtle (Myrtus communis L.), native to the Mediterranean region of Türkiye, is a
valuable plant with applications in traditional medicine, pharmaceuticals, and culinary …

Assessing Cadmium Stress Resilience in Myrtle Genotypes Using Machine Learning Predictive Models: A Comparative In Vitro Analysis

M Tütüncü, MA Isak, T İzgü, D Dönmez, YA Kaçar… - Horticulturae, 2024 - mdpi.com
This study investigated the effects of cadmium (Cd) stress on the micropropagation and
rooting dynamics of two myrtle (Myrtus communis L.) genotypes with different fruit colors …