High-precision crop recommendation system with stacking ensemble classifiers for optimizing agricultural productivity.
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| Title: | High-precision crop recommendation system with stacking ensemble classifiers for optimizing agricultural productivity. |
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| Authors: | Ahmed RA; Climate Change Information Center and Renewable Energy and Expert System, Agricultural Research Center (ARC), Giza, Egypt. rania_abdelmordy@el-eng.menofia.edu.eg.; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt. rania_abdelmordy@el-eng.menofia.edu.eg., El-Shafai W; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt.; Automated Systems and Computing Lab (ASCL), Department of Computer Science, Prince Sultan University, 11586, Riyadh, Saudi Arabia., Ahmed ZA; Climate Change Information Center and Renewable Energy and Expert System, Agricultural Research Center (ARC), Giza, Egypt., El-Rabaie EM; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt., El-Samie FEA; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt.; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia. |
| Source: | Scientific reports [Sci Rep] 2025 Dec 09; Vol. 15 (1), pp. 43377. Date of Electronic Publication: 2025 Dec 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-025-09640-5 |
