Visualization Of Farm Land Use By Classifying Satellite Images

Land use mapping is becoming increasingly important in agriculture. Nowadays, satellite visualizations of farmland are available. On the other hand, the machine learning techniques have been advanced rapidly. This paper comprehensively investigates the use of the recently developed machine learning techniques to automatize land use mapping. Our comprehensive experiments are reported. The results of comparison experiments have demonstrated the performance of the algorithms on land use mapping.