Smart Good Agricultural Practices (S-GAP) is a management information system which will combine precision agriculture application into the three levels of the decision making process (strategic, tactical, operational) together with automated compliance to standards steps. As the relevant farm data is already in the proposed information system, or may be automatically integrated using standardized services, documentation in the form of instructions to operators, certification of crop province and cross compliance of adopted standards can be generated more easily than with the current paper-based systems.
The S-GAP system is an automated checklist system for compliance standards and including 2 applications: a) the android application for farmers for checking the various checklist after completed an action, and b) the web application that provides reporting from the checklist system. The prototype is a reault of phase 1 in the SmartAgriFood project, whereas revised project objectives included determining good agricultural practices for a crop (sunflower) in Turkey as well as for crops (specifically spring wheat) for organic production in Denmark. The results show resource allocation profiles depending on the type of production, soil conditions, type of crops grown, etc. Necessary information is available to allow for sufficient traceability and checking of good agricultural practises.
The android application has been implemented at Kirklareli Soil and Water research Institute from Turkey and used at 2 test fields. The prototype also includes an installation guide and user manual available at http://kpadltd.co.uk/sgap/help/. The prototype is available at.http://kpadltd.co.uk/sgap/sgap.apk for download. The hard-copy documentation and online published checklists for compliance to standards was transferred into machine readable forms with a focus on organic farming. Further development and implementation can be carried out by software developers like KPAD. Guidelines on good agricultural practises were exploitet and shared with the pilot farms and parts of the results and estimations were integrated and used for updating advisory tools for operations planning.