In this paper, we present an optimized Machine Learning (ML) algorithm for predicting land suitability for crop (sorghum) production, given soil properties information. We set-up experiments using Parallel Random Forest (PRF), Linear Regression (LR), Linear Discriminant Analysis (LDA), KNN, Gaussian Naïve Bayesian (GNB) and Support Vector Machine (SVM). Experiments were evaluated using 10 cross fold validation. We observed that, parallel random forest had a better accuracy of 0.96 and time of execution of 1.7 sec. Agriculture is the main stream of food security.
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Library ResourceArticles et Livresnovembre, 2017Kenya
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Library ResourceRapports et recherchesjanvier, 2016Kenya
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. The purpose of this study was to assess the land covers change and decline in sugarcane farming using a three time series of Landsat satellite images of 1984, 2000 and 2015.
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Library ResourceArticles et Livresdécembre, 2016Kenya
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. Because land cover is a major component of the land surface, its alteration constitutes a form of land surface change.
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Library Resource
A case study of Kanunga – Nyaga road in Kiambu County
Articles et Livresmai, 2015KenyaGovernments 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. The process of land acquisition involves several government departments which have different mandates depending with the purpose of the acquisition. In several instances departments involved have been seen to be disjointed hence causing gaps and unfinished work in the whole process.
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