Conference Paper

Aplikasi Pemetaan Tanah Digital untuk Pemetaan Sifat Tanah Menunjang Rekomendasi Pemupukan



The better recommendation of fertilizer application can be formulated is
supported by voluminous, well distributed soil data. Yet, this effort requires much money
and consume much time. In the other hand, there is available legacy soil data that can be
used to derive soil-landcape model. This model can be used to predict and map soil
properties. This paper discusses digital soil mapping approach to provide quantitative
soil properties as base for formulating fertilizer recommendation. For a given region,
digital soil mapping is applied following 3 main steps i.e. (i) dataset preparation by
collecting previous soil data and auxiliary information, (ii) soil-landscape model development, and (iii) model application to derive digital soil properties map. The
framework was applied in Java where 301 soil profiles were re-documented and used to
develop soil-landscape model for predicting sand fraction, clay fraction, soil organic
matter, soil organic carbon, nitrogen total, pH, base saturation, and cation exchange
capacity. This model is used to create soil property map in Subang Regency. The
application of digital soil mapping technique can complement current technique in
providing soil property map to support fertilizer recommendation. Based on data and
these baseline map, soil sampling can be done efficiently, and better fertilizer
recommendation can be formulated.