Machine learning (ML) algorithms and artificial neural network for optimizing in vitro germination and growth indices of industrial hemp (Cannabis sativa L.)
In vitro germination of hemp is challenging due to low germination and high contamination
rates. Successful establishment of in vitro sterilization is the prerequisite of plant tissue …
rates. Successful establishment of in vitro sterilization is the prerequisite of plant tissue …
Artificial neural network and decision tree–based models for prediction and validation of in vitro organogenesis of two hydrophytes—Hemianthus callitrichoides and …
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 …
in recent years to produce cost-effective plants for aquarium industry. In vitro regeneration …
Computing artificial neural network and genetic algorithm for the feature optimization of basal salts and cytokinin-auxin for in vitro organogenesis of royal purple …
This study presents the in vitro regneration protocol for Royal purple [(Cotinus coggygria
Scop.(syn.: Rhus cotinus L.)] from nodal segment explants followed by optimizing the input …
Scop.(syn.: Rhus cotinus L.)] from nodal segment explants followed by optimizing the input …
Machine learning and artificial neural networks-based approach to model and optimize ethyl methanesulfonate and sodium azide induced in vitro regeneration and …
Application of chemical mutagens is used for artificially induced in vitro mutation to develop
new cultivars with elite characteristics. However, the optimization of selecting proper …
new cultivars with elite characteristics. However, the optimization of selecting proper …
Artificial neural network and decision tree facilitated prediction and validation of cytokinin-auxin induced in vitro organogenesis of sorghum (Sorghum bicolor L.)
In this study, in vitro regeneration protocol of sorghum (Sorghum bicolor) was successfully
established by using direct organogenesis from a mature zygotic embryo explant. The used …
established by using direct organogenesis from a mature zygotic embryo explant. The used …
A comparative and practical approach using quantum machine learning (QML) and support vector classifier (SVC) for Light emitting diodes mediated in vitro …
In this study, in vitro regeneration protocol for black mulberry (Morus nigra L.) was optimized
using 18 distinct combinations of benzylaminopurine (BAP) with either naphthalene acetic …
using 18 distinct combinations of benzylaminopurine (BAP) with either naphthalene acetic …
Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network
Agricultural product quality assessment is crucial for determining marketability and
managing waste. It helps ensure that products meet industry standards and consumer …
managing waste. It helps ensure that products meet industry standards and consumer …
Artificial neural network based optimization for Ag grated D-shaped optical fiber surface plasmon resonance refractive index sensor
This study reports the optimization of fiber optic SPR refractive index sensor parameters with
the simulation of finite element method (FEM) and artificial neural network (ANN) model. To …
the simulation of finite element method (FEM) and artificial neural network (ANN) model. To …
Prediction of fracture behavior of Al2O3-Cr2O3 ceramics in different Cr2O3 ratios under flexure load using machine learning methods
Abstract Machine learning (ML) algorithms have recently shown considerable success in the
field of materials science, particularly for modeling novel materials, analyzing enormous …
field of materials science, particularly for modeling novel materials, analyzing enormous …
[HTML][HTML] Synergizing LED Technology and Hydropriming for Intelligent Modeling and Mathematical Expressions to Optimize Chickpea Germination and Growth Indices
The influence of hydropriming and Light Emitting Diodes (LED) on germination and growth
indices, followed by optimizing and validation via artificial intelligence-based models was …
indices, followed by optimizing and validation via artificial intelligence-based models was …