Application of artificial intelligence models and optimization algorithms in plant cell and tissue culture

M Hesami, AMP Jones - Applied Microbiology and Biotechnology, 2020 - Springer
Artificial intelligence (AI) models and optimization algorithms (OA) are broadly employed in
different fields of technology and science and have recently been applied to improve …

Machine learning for plant breeding and biotechnology

M Niazian, G Niedbała - Agriculture, 2020 - mdpi.com
Classical univariate and multivariate statistics are the most common methods used for data
analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity …

[HTML][HTML] Batteries temperature prediction and thermal management using machine learning: An overview

A Al Miaari, HM Ali - Energy Reports, 2023 - Elsevier
Batteries, particularly lithium-ion batteries, play an important role in powering our modern
world, from portable devices to electric vehicles and renewable energy storage. However …

Development of support vector machine-based model and comparative analysis with artificial neural network for modeling the plant tissue culture procedures: effect of …

M Hesami, R Naderi, M Tohidfar… - Plant methods, 2020 - Springer
Background Optimizing the somatic embryogenesis protocol can be considered as the first
and foremost step in successful gene transformation studies. However, it is usually difficult to …

Hairy root culture technology: applications, constraints and prospect

S Gantait, E Mukherjee - Applied Microbiology and Biotechnology, 2021 - Springer
Hairy root (HR) culture, a successful biotechnology combining in vitro tissue culture with
recombinant DNA machinery, is intended for the genetic improvement of plants. This …

Investigation of the Influence of Polyamines on Mature Embryo Culture and DNA Methylation of Wheat (Triticum aestivum L.) Using the Machine Learning Algorithm …

B Eren, A Türkoğlu, K Haliloğlu, F Demirel, K Nowosad… - Plants, 2023 - mdpi.com
Numerous factors can impact the efficiency of callus formation and in vitro regeneration in
wheat cultures through the introduction of exogenous polyamines (PAs). The present study …

Modeling and Optimizing in vitro Sterilization of Chrysanthemum via Multilayer Perceptron-Non-dominated Sorting Genetic Algorithm-II (MLP-NSGAII)

M Hesami, R Naderi, M Tohidfar - Frontiers in plant science, 2019 - frontiersin.org
In vitro sterilization is a primary step of plant tissue culture which the ultimate results of in
vitro culture are directly depended on the efficiency of the sterilization. Artificial intelligence …

Machine Learning-Assisted In Vitro Rooting Optimization in Passiflora caerulea

M Jafari, MH Daneshvar, S Jafari, M Hesami - Forests, 2022 - mdpi.com
In vitro rooting as one of the most critical steps of micropropagation is affected by various
extrinsic (eg, medium composition, auxins) and intrinsic factors (eg, species, explant). In …

Machine learning-mediated Passiflora caerulea callogenesis optimization

M Jafari, MH Daneshvar - PLoS One, 2024 - journals.plos.org
Callogenesis is one of the most powerful biotechnological approaches for in vitro secondary
metabolite production and indirect organogenesis in Passiflora caerulea. Comprehensive …

Prediction and optimization of indirect shoot regeneration of Passiflora caerulea using machine learning and optimization algorithms

M Jafari, MH Daneshvar - BMC biotechnology, 2023 - Springer
Background Optimization of indirect shoot regeneration protocols is one of the key
prerequisites for the development of Agrobacterium-mediated genetic transformation and/or …