Online Fertilizer Recommendation for Different Crops of Tumkur District through GPS GIS Based Fertility Maps

Abstract

newline Abstract newlineThe main aim of this research work is to develop a GIS-Cloud based Decision Support System (DSS) with a novel algorithm to provide optimum fertilizer recommendation without going to the Soil Test Laboratory for an un-sampled farming sites of an individual farmer. The prime focus is on farmer s digital literacy skills, spatial distribution maps, geostatistical analysis, database partitioning techniques, cloud services, sharding mechanism, and Information communication Technology (ICT) services. The problem statement relies on how the GIS-Cloud based Decision Support System integrated with ICT services which benefits the smart agriculture system. In order to comply with these objectives, an investigation was conducted through agricultural field surveys, journal references, participating in conferences and workshops. The soil test data and Soil Test Crop Response (STCR) targeted yield fertilizer prescription equations of Tumkur district were collected from All India Coordinated Research Project(AICRP) on STCR at University of Agricultural Sciences, Gandhi Krishi Vignana Kendra (GKVK), Bangalore. newlineBased on the investigations, data analysis and digital literacy survey, the study revealed that farmer s had less awareness on soil testing and its importance in retaining or rejuvenating the nutrient content of the soil. Further, it also revealed a strong necessity to educate and train the farmer s about ICT tools in order to achieve the wider benefits of agriculture in the areas of application of adequate fertilizers, increasing the crop yield and preserving the soil health. newlineThe challenges faced reveal the need for the proposed new techniques in generation of spatial distribution maps, and development of a novel PS-Gen algorithm by using the K-means clustering technique. To process a large agricultural datasets, dynamic table partitioning using sharding technique to provide fertilizer recommendations in the form of Soil Health Card were used through ICT services such as web/desktop, mobile and kiosk.