Leveraging machine learning to unravel the impact of cadmium stress on goji berry micropropagation.

Abstract excerpt

This study investigates the influence of cadmium (Cd) stress on the micropropagation of Goji Berry (Lycium barbarum L.) across three distinct genotypes (ERU, NQ1, NQ7), employing an array of machine learning (ML) algorithms, including Multilayer Perceptron (MLP), Support Vector Machines (SVM), Random Forest (RF), Gaussian Process (GP), and Extreme Gradient Boosting (XGBoost). The primary motivation is to...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Cadmium
• Share to Fruit