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oai:figshare.com:article/33815701 2026-09-15T18:09:08Z category_21 category_39 category_734 category_931 portal_5 item_type_3 month_year_09_2026

<p>Comparative analysis of the proposed model against other deep learning models on the RLD dataset.</p> Khawja Imran Masud (24950767) Md Yasin Zihad (24950770) Mehedi Hasan Shuvo (23186996) Mst Raonik Jannat (24950773) Jia Uddin (21453647) Sahara Ali (24950776) Biotechnology Ecology Biological Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> early rice leaf diseases lightweight improved mobilenetv2 improve classification performance smart agricultural systems models compact size based inference framework although transfer learning achieving mean accuracies achieve high accuracy restrict model generalizability developed iot system constructed rld dataset although models test accuracy constructed rld based model agricultural environments source dataset hybrid dataset world conditions time detection source datasets significant challenge rural regions practical potential limited datasets limited access less suitable kaggle samples computationally expensive combining self advanced technology achieving 99 <p>Comparative analysis of the proposed model against other deep learning models on the RLD dataset.</p> 2026-09-15T18:08:45Z Dataset Dataset 10.1371/journal.pone.0356383.t004 https://figshare.com/articles/dataset/_p_Comparative_analysis_of_the_proposed_model_against_other_deep_learning_models_on_the_RLD_dataset_p_/33815701 CC BY 4.0