Structure’s model of the geoinformation and analytical system of organic agriculture
DOI:
https://doi.org/10.31548/dopovidi2018.05.023Abstract
Traditional agriculture is characterized by high rates, but it leads to a decrease of soil fertility and environmental pollution with synthetic fertilizers and pesticides, and the biological quality of products is not sufficiently appreciated, the assessment of these products proceeds not only by its attractive appearance, taste and size, but also by its ability to maintain health. Therefore, the issue of ecologization of agriculture and strengthening the requirements for ecological state of received products today is one of the main priorities of Ukraine's ecological and economic security. This achieved through stabilization and improvement of the ecological state of the territory, protection, rational use and reproduction of land resources. An indispensable tool for these tasks is Geoinformation and Analytical System (GIAS) of organic agriculture, which is based on the use of modern, powerful tools and data processing methods to support agricultural producers in the transitional period and to support continuously their development. The state structure of GIAS of organic agriculture should include local (company), regional and national (state) levels or, respectively, operational, tactical and strategic levels of management. The basis of information support of GIAS is a local level of research through the accumulation and systematization of collected data from research and data from remote sensing of the Earth. The main stages of its realization on the local level are presented, which include: designing and creating a geodatabase, developing of a mapping grounding, their information saturation with collected data and spatial data of remote sensing of the Earth, creation of expert systems based on best practices in organic agriculture. The approbation of architecture model of GIAS is feasible on the example of the Institute of Rice of NAAS in Skadovsk district of the Kherson region.
Key words: organic agriculture, geoinformation and analytical system, database management system, GIS-technology, neurotechnologyReferences
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