Abstract Background Nowadays. automated phenotyping of plants is essential for precise and cost-effective improvement in the efficiency of crop genetics. In recent years. machine learning (ML) techniques have shown great success in the classification and modelling of crop parameters. https://www.kaliboat.com/product-category/refusegarbage/