Abstract
Green urban garden landscape architects, primarily for large-scale applications, such as planning and managing the local environment, ecology and natural resources, have been using a Geographic Information System (GIS). GIS applications explore an urban landscape of the block with the local community analysis is very difficult. Geographic Information System (GIS) provides a means to collect and use geographic data to support the development of agricultural technology. The proposed Support Geographic Regression (SGR) algorithm is responsible for assessing the conditions and global growth estimate crop area, yield and production of crops, cereals, oilseeds and cotton. Digital map is usually higher than printed on paper. The digital version can be used for the analysis presented in combination with other information data sources in much the same map graphics. GIS software, in combination with the management of another information layer to be synthesized in large quantities a variety of data, can get the data more effectively. GIS, to serve them better farmers and breeding community, provides a powerful means of agriculture. The proposed SGR and GIS determine the production, estimate the yield and area extraction procedure, several different satellite data sources, and use the climate data crop model and data.
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