Masters Degrees (Geography and Environmental Studies)

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Browsing Masters Degrees (Geography and Environmental Studies) by Subject "Agricultural data"

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    GIS and EUREPGAP : applying GIS to increase effective farm management in accordance GAP requirements
    (Stellenbosch : Stellenbosch University, 2003-12) Schreiber, Werner; Zietsman, H. L.; Phil, M. A. D.; Stellenbosch University. Faculty of Arts and Social Sciences. Dept. of Geography and Environmental Studies .
    ENGLISH ABSTRACT: With the inception of precision farming techniques during the last decade, agricultural efficiency has improved, leading to greater productivity and enhanced economic benefits associated with agriculture. The awareness of health risks associated with food borne diseases has also increased. Systems such as Hazard Analysis and Critical Control Points (RACCP) in the USA and Good Agricultural Practices (GAP) in Europe are trying to ensure that no food showing signs of microbial contamination associated with production techniques are allowed onto the export market. Growers participating in exporting are thus being forced to conform to the requirements set by international customers. The aim of this study was to compile a computerized record keeping system that would aid farmers with the implementation of GAP on farms, by making use of GIS capabilities. A database, consisting of GAP-specific data was developed. ArcView GIS was used to implement the database, while customized analyses procedures through the use of Avenue assisted in GAP-specific farming related decisions. An agricultural area focusing on the export market was needed for this study, and the nut producing Levubu district was identified as ideal. By making use of ArcView GIS, distinct relationships between different data sets were portrayed in tabular, graphical, geographical and report format. GAP requirements state that growers must base decisions on timely, relevant information. With information available in the above-mentioned formats, decisions regarding actions taken can be justified. By analysing the complex interaction between datasets, the influences that agronomical inputs have on production were portrayed, moving beyond the standard requirements of GAP. Agricultural activities produce enormous quantities of data, and GIS proved to be an indispensable tool because of the ability to analyse and manipulate data with a spatial component. The implementation of good agricultural practices lends itself to the use of GIS. With the correct information available at the right time, better decisions can promote optimal croppmg, whilst rmmrrnzmg the negative effects on the consumer and environment.