Rice is one of the global most critical harvests and a great many people eat it as a staple eating routine Different rice plant diseases harm spread and drastically reduce crop yields In extreme situations they may result in no grain harvest at all posing a severe threat to food security In this paper to amplify the recognition ability for rice leaf disease RLD classification we proposed hierarchical transfer learning HTL methods incorporating ensembl

Sorry, your browser does not support embedded lontar_pdfs. Click here to view it.