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 …

Combining gene expression programming and genetic algorithm as a powerful hybrid modeling approach for pear rootstocks tissue culture media formulation

S Jamshidi, A Yadollahi, MM Arab, M Soltani… - Plant Methods, 2019 - Springer
Background Predicting impact of plant tissue culture media components on explant
proliferation is important especially in commercial scale for optimizing efficient culture …

High throughput mathematical modeling and multi-objective evolutionary algorithms for plant tissue culture media formulation: Case study of pear rootstocks

S Jamshidi, A Yadollahi, MM Arab, M Soltani… - PloS One, 2020 - journals.plos.org
Simplified prediction of the interactions of plant tissue culture media components is of critical
importance to efficient development and optimization of new media. We applied two …

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 …

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 …

Optimizing PGRs for in vitro shoot proliferation of pomegranate with bayesian-tuned ensemble stacking regression and NSGA-II: a comparative evaluation of machine …

S Zarbakhsh, AR Shahsavar, M Soltani - Plant Methods, 2024 - Springer
Background The process of optimizing in vitro shoot proliferation is a complicated task, as it
is influenced by interactions of many factors as well as genotype. This study investigated the …

Design of tissue culture media for efficient Prunus rootstock micropropagation using artificial intelligence models

EN Alanagh, G Garoosi, R Haddad, S Maleki… - Plant Cell, Tissue and …, 2014 - Springer
Establishing optimized protocols for micropropagation of some economical plants, such as
Prunus sp., is still one of the most important challenges for in vitro plant culture researchers …

[PDF][PDF] Data-driven modeling in plant tissue culture

M Hesami, R Naderi… - J. Appl. Environ …, 2017 - researchgate.net
During in vitro propagation, de novo organs such as buds, shoots, and roots can be
achieved under chemical and physical conditions from explant. Some physical conditions …

[HTML][HTML] Prediction of chemical composition for callus production in Gyrinops walla Gaetner through machine learning

SP Munasinghe, S Somaratne, SR Weerakoon… - Information Processing …, 2020 - Elsevier
Developing new tissue culture protocols and optimization of plant media composition for
particular plant species are precluded by the higher labor, time and cost. The usage of …

Application of artificial neural network for modeling and studying in vitro genotype-independent shoot regeneration in wheat

M Hesami, JA Condori-Apfata… - Applied Sciences, 2020 - mdpi.com
Optimizing in vitro shoot regeneration conditions in wheat is one of the important steps in
successful micropropagation and gene transformation. Various factors such as genotypes …