Land Library
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In this paper, we present an optimized Machine Learning (ML) algorithm for predicting land suitability for crop (sorghum) production, given soil properties information.
The Earth’s land surface is a key component of its climate system. Terrestrial plants, animals and human beings rely on the land surface for sustenance and existence; as such, its prevailing conditions and properties are essential to terrestrial life.
Land use/cover changes are pervasive with no clear understanding of their spatial extends, drivers and impacts to society. Land-use changes have become a key component in the current strategies for managing and monitoring the natural resources and environment changes.
Governments have power to compulsorily acquire land or other interest in land for a public purpose subject to prompt payment of the compensation to the affected persons.