Application of artificial intelligence models and optimization algorithms in plant cell and tissue culture
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 …
different fields of technology and science and have recently been applied to improve …
[HTML][HTML] Machine learning for plant breeding and biotechnology
Classical univariate and multivariate statistics are the most common methods used for data
analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity …
analysis in plant breeding and biotechnology studies. Evaluation of genetic diversity …
The application of multiple linear regression and artificial neural network models for yield prediction of very early potato cultivars before harvest
Yield forecasting is a rational and scientific way of predicting future occurrences in
agriculture—the level of production effects. Its main purpose is reducing the risk in the …
agriculture—the level of production effects. Its main purpose is reducing the risk in the …
Integrating speed breeding with artificial intelligence for develo** climate-smart crops
Introduction In climate change, breeding crop plants with improved productivity,
sustainability, and adaptability has become a daunting challenge to ensure global food …
sustainability, and adaptability has become a daunting challenge to ensure global food …
Application of genetics and biotechnology for improving medicinal plants
Main conclusion Plant tissue culture has been used for conservation, micropropagation, and
in planta overproduction of some pharma molecules of medicinal plants. New biotechnology …
in planta overproduction of some pharma molecules of medicinal plants. New biotechnology …
In vitro-based doubled haploid production: recent improvements
The doubled haploid system is the fastest way of hybrid variety production and plays an
important role in breeding programs and developmental studies. The most commonly used …
important role in breeding programs and developmental studies. The most commonly used …
Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)
Modeling relationships between safflower seed yield (SY) and its components would be
helpful to understand the most important trait-(s) with significant effects on seed yield, which …
helpful to understand the most important trait-(s) with significant effects on seed yield, which …
Modeling and optimizing callus growth and development in Cannabis sativa using random forest and support vector machine in combination with a genetic algorithm
Plant callus is generally considered to be a mass of undifferentiated cells and can be used
for secondary metabolite production, physiological studies, and plant transformation …
for secondary metabolite production, physiological studies, and plant transformation …
Development of support vector machine-based model and comparative analysis with artificial neural network for modeling the plant tissue culture procedures: effect of …
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 …
and foremost step in successful gene transformation studies. However, it is usually difficult to …
Modeling and Optimizing in vitro Sterilization of Chrysanthemum via Multilayer Perceptron-Non-dominated Sorting Genetic Algorithm-II (MLP-NSGAII)
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 …
vitro culture are directly depended on the efficiency of the sterilization. Artificial intelligence …