title: Geostatistics, remote sensing and precision farming.
abstract: Precision farming is possible today because of advances in farming technology, procedures for mapping and interpolating spatial patterns, and geographic information systems for overlaying and interpreting several soil, landscape and crop attributes. The key component of precision farming is the map showing spatial patterns in field characteristics. Obtaining information for this map is often achieved by soil sampling. This approach, however, can be cost-prohibitive for grain crops. Soil sampling strategies can be simplified by use of auxiliary data provided by satellite or aerial photo imagery. This paper describes geostatistical methods for estimating spatial patterns in soil organic matter, soil test phosphorus and wheat grain yield from a combination of Thematic Mapper imaging and soil sampling.
authors.affiliation: Department of Soil, Water and Climate, Borlaug Hall, University of Minnesota 55108-6028, USA.
authors.forename: D J
authors.initials: DJ
authors.lastname: Mulla
mesh_terms: D000383:Agriculture / Q000379:methods*; D017753:Ecosystem; D005843:Geography; D008432:Mathematical Computing; D015233:Models, Statistical