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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...

Whakaahuatanga katoa

I tiakina i:
Ngā kaituhi matua: Mohamed Hussein, Ahmed Mahfouz, ElSayed A.Mohammed
Hōputu: Artigo
Reo:Inglês
I whakaputaina: The Higher Institute for Computers and Information Technology. El-Shorouk Academy 2025-01-01
Rangatū:Journal of the ACS Advances in Computer Science
Ngā marau:
Random Forest (RF)
Machine Learning
Crop Recommendation
Sustainable Agriculture
Egypt
Support Vector Machine (SVM)
Decision Tree (DT)
Linear Regression (LR)
Urunga tuihono:https://asc.journals.ekb.eg/article_431307_a4be58e5138d689b91671d3b091784b6.pdf
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