Proceedings...

Chemistry of soils with mixtures of pH-dependent and permanent charge minerals; Comparison of analytical data from four soil laboratories on three soils of the Kindaruma area in Kenya; The chemistry and physics of low activity clays; Importance of mineral constituents in pedology; Characteristics and processes of ferralitic soils; Report on the Brazil meeting of the Committee on the Classification of Alfisols and Ultisols with Low Activity Clays; Report on a "state-of-the-art" (SOTA) study on Soil Taxonomy in the tropics; Report on the micromorphology of selected Brazilian pedons; Correlation of selected data for some Brazilian soils provided by Brazil and SCS-USDA laboratories; Calculated cation exchange capacities for some Brazilian soils.bitstream/item/212099/1/First-International-Soil-Classification-Workshop-1977.pdfEdited by M. N. Camargo, F. H. Beinroth

Perkembangan Dan Permasalahan Sistem Klasifikasi Tanah Di Indonesia

. Soil research in Indonesia began in 1817 but officially soils classification research began in 1905. The first soil classification of soils in Indonesia was prepared by E. C. J. Mohr in 1910 at Bodemkundig Instituut. Soils classification is based on the principle of genesis and soils classified are named on the basis of color. This classification was updated several times in 1910, 1916, 1922, and 1933. In 1972 Mohr with van Baren and Schuylenborgh published a book on soils in the tropics with the title "Tropical Soil, A comprehensive study of their genesis". Further soil classification is White classification which was developed in 1931. In the White classification system, the nature of the soil classification is based on geology and type of weathering, but the names of the soil is still too long and complicated. In 1938 in Deli soil classification was prepared by Druif for soil mapping in the area of tobacco plantation. Druif research results have been reported in detail in 3 series of book De Bodem van Deli. Soil classification system considered advanced, based on morphometric, is a classification system of Dudal and Soepraptohardjo (1957, 1961). This classification system is used in the soil mapping resources in Indonesia at the level of semi detail and exploration. In 1983, the Centre for Soil Research has published a soil classification system intended for semi-detailed soil mapping for transmigration program. The classification is based on the morphogenetic and a refinement of the classification system of Dudal and Soepraptohardjo (1961). Various definitions various especially at great group level is mostly using the definition of the Legend of the Soil Map of the World ( FAO / UNESCO, 1974) and adapted to the soil classification in Indonesia. Other soil classification system used in Indonesia is the soil taxonomy classification system which was began to be published in 1975. This soil classification system is still used to refer to the book of Keys to Soils Taxonomy, eleventh edition (2010). Other soil classification system is a World Soil Map Unit of the FAO/UNESCO (1974). Up till 2013, Indonesia does not have a national soil classification system, although several times of the National Congress of Soil Science Society of Indonesia has mandated to formulate a national soil classification. The efforts made by the Indonesia Center for Agricultural Land Resources Research and Development is successful to draft national soil classification which was introduced in 2013, but this concept still requires improvement and recognition from experts soil genesis and classification throughout Indonesia

Soil salinity-sodicity and land use suitability in the Fordwah Eastern Sadiqia (South) irrigated area

Soil salinity / Sodic soils / Soil classification / Soil surveys / Soil analysis / Groundwater development / Water table / Water quality / Land use / Irrigation canals / Farmer participation / Surface drainage / Subsurface drainage / Soil reclamation / Waterlogging / Pakistan / Fordwah Eastern Sadiqia / Bahawalnagar District

Different Type of Considerations on Soil Classification using Special Classification Techniques

Data mining techniques are used in different areas. These data mining techniques are used in commercial, industrial and other areas. Agriculture is the soul of our country. Data mining techniques have been applied in agriculture also. Classification is the most suitable technique for characterize the soil using its attribute values. Soil classification is used for characterize the soil using its attribute values. Several data mining techniques are used in soil classification. Hence this studies mainly focusing the various classification techniques. This study is used for compare that soil classification techniques using its accuracy and it are used for find the best soil classification technique

Site Soil Classification Interpretation Based on Standard Penetration Test and Shear Wave Velocity Data

Site soil classification provides vital information for predicting the soil amplification or the site factor. The site factor is important for calculating the surface spectral acceleration in the seismic design of buildings. Based on the Indonesian seismic code, site soil classification can be conducted by calculating the average standard penetration (N-SPT) resistance, the average shear wave velocity (VS) and the average undrained soil strength (Su) of the upper 30 m of a subsoil layer. Different results may be obtained at the same location when the site soil classification is predicted using N-SPT than when using VS data. The restriction of N-SPT values until a maximum of 60 compared to a VS maximum of 750 m/sec can produce different soil classes and will directly impact the calculation of the surface spectral acceleration. This paper describes the different results of site soil classification prediction calculated using the average N-SPT and the average VS, conducted at Semarang City, Indonesia. Site soil classification maps developed based on both datasets are also presented, to evaluate the different site soil classification distributions. Only soil classes SD and SE were observed using N-SPT maximum 60, whereas soil classes SC, SD and SE were observed using N-SPT maximum 120

Characteristic variations in reflectance of surface soils

Surface soil samples from a wide range of naturally occurring soils were obtained for the purpose of studying the characteristic variations in soil reflectance as these variations relate to other soil properties and soil classification. A total 485 soil samples from the U.S. and Brazil representing 30 suborders of the 10 orders of 'Soil Taxonomy' was examined. The spectral bidirectional reflectance factor was measured on uniformly moist soils over the 0.52 to 2.32 micron wavelength range with a spectroradiometer adapted for indoor use. Five distinct soil spectral reflectance curve forms were identified according to curve shape, the presence or absence of absorption bands, and the predominance of soil organic matter and iron oxide composition. These curve forms were further characterized according to generically homogeneous soil properties in a manner similar to the subdivisions at the suborder level of 'Soil Taxonomy'. Results indicate that spectroradiometric measurements of soil spectral bidirectional reflectance factor can be used to characterize soil reflectance in terms that are meaningful to soil classification, genesis, and survey