Optimizing Crop Selection Using Machine Learning for Sustainable Agriculture in Egypt

Agriculture plays a vital role in Egypt’s economy, yet crop selection remains challenging due to environmental variability, soil degradation, and water scarcity. This study introduces a data-driven crop recommendation model using the Random Forest algorithm, trained on environmental parameters inclu...

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書目詳細資料

Principais autores:	Mohamed Hussein, Ahmed Mahfouz, ElSayed A.Mohammed
格式:	Artigo
語言:	Inglês
出版:	The Higher Institute for Computers and Information Technology. El-Shorouk Academy 2025-01-01
叢編:	Journal of the ACS Advances in Computer Science
主題:	Random Forest (RF) Machine Learning Crop Recommendation Sustainable Agriculture Egypt Support Vector Machine (SVM) Decision Tree (DT) Linear Regression (LR)
在線閱讀:	https://asc.journals.ekb.eg/article_431307_a4be58e5138d689b91671d3b091784b6.pdf
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