Development of a field-level geographic information system
Identifieur interne : 001137 ( Main/Merge ); précédent : 001136; suivant : 001138Development of a field-level geographic information system
Auteurs : Shane Runquist [États-Unis] ; Naiqian Zhang [États-Unis] ; Randy K. Taylor [États-Unis]Source :
- Computers and Electronics in Agriculture [ 0168-1699 ] ; 2001.
English descriptors
- KwdEn :
Abstract
A field-level geographic information system (FIS) was developed to meet the need for a research tool to analyze agricultural data relevant to precision agriculture. FIS is a compact, raster-based geographic information system designed specifically for precision-agriculture applications. FIS can load, graphically display, manipulate, and save numerical data representing either circular (center-pivot irrigated) or irregularly shaped crop fields. The developers used the C++ language and object-oriented programming (OOP) concepts to implement a variety of spatial analysis capabilities, such as creating fields from GPS boundary data, point and block interpolation, simple statistics and correlation, data manipulation/region partition through logic queries and buffering, spatial pattern analysis in both Cartesian and polar coordinate systems, and remote sensing data analysis.
Url:
DOI: 10.1016/S0168-1699(00)00155-1
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<front><div type="abstract" xml:lang="en">A field-level geographic information system (FIS) was developed to meet the need for a research tool to analyze agricultural data relevant to precision agriculture. FIS is a compact, raster-based geographic information system designed specifically for precision-agriculture applications. FIS can load, graphically display, manipulate, and save numerical data representing either circular (center-pivot irrigated) or irregularly shaped crop fields. The developers used the C++ language and object-oriented programming (OOP) concepts to implement a variety of spatial analysis capabilities, such as creating fields from GPS boundary data, point and block interpolation, simple statistics and correlation, data manipulation/region partition through logic queries and buffering, spatial pattern analysis in both Cartesian and polar coordinate systems, and remote sensing data analysis.</div>
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