MACHINE LEARNING TECHNIQUES IN DETERMINING LAND SUITABLE FOR CEREAL CROPS IN IKERE EKITI, EKITI STATE, SOUTHWESTERN NIGERIA.

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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Bibliographic Details
Main Authors: Ijaware Victor Ayodele, Kehinde Ruth Aniyikaye
Format: Article
Language:English
Published: EL-AYACHI 2025-05-01
Series:African Journal on Land Policy and Geospatial Sciences
Subjects:
Agriculture
Cereal crops
Machine Learning
Algorithm
Land Suitability
Online Access:https://revues.imist.ma/index.php/AJLP-GS/article/view/53174
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https://revues.imist.ma/index.php/AJLP-GS/article/view/53174

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