Geospatial Analytical Framework for Soil Fertility Management

Abstract

The soil fertility and fertilizer recommendation through the geospatial modeling and geo-data analytics is the prime concern of current agriculture automations. The current process involved in getting soil nutrients encompasses a static process and consumes enormous time on various agricultural activities. Hence, this jeopardy is resolved by implementing the proposed framework. This geospatial framework provides quick and dynamic soil nutrients on individual agricultural land and further offers predictive datasets for various agricultural activities. The framework also depicts spatial variations on soil properties for both macro and micro nutrients. This implementation of geospatial thematic maps creates density and variations on all the available soil nutrients of a selected land region. These spatial variations are displayed with adequate color properties based on the categorisation of agricultural land size like marginal, small, semi-medium, medium and large farming lands. The framework is beneficial to the farming community and the e-governance for distributing the fertilizers on a need basis across taluk/district of every state in India.