Hyperspectral Image Based Soil Classification using Deep Soft Computing Techniques

Abstract

In India Agriculture is the main employment. The growth of population leads to decrease of cultivation land significantly. To ensure the increase of crop production it is necessary to identify and select the appropriate soil type because different crops need different soil types. In present scenario image processing and chemical analysis are used to determine the soil types. In image processing hyperspectral remote sensing image analysis is the efficient technique for classifying different types of soils. For classifying these soil types deep soft computing methods like deep regression algorithm and deep fuzzy logic algorithms are applied to classify the soil types.