MACHINE LEARNING TECHNIQUES IN DETERMINING LAND SUITABLE FOR CEREAL CROPS IN IKERE EKITI, EKITI STATE, SOUTHWESTERN NIGERIA.
Context and background: Agricultural land use planning is vital for sustainable development, requiring modern approaches to address complex challenges. Goal and Objectives: This study aimed at the application of machine learning techniques in determine land suitable for cereal crops in Ikere...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EL-AYACHI
2025-05-01
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| Series: | African Journal on Land Policy and Geospatial Sciences |
| Subjects: | |
| Online Access: | https://revues.imist.ma/index.php/AJLP-GS/article/view/53174 |
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