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SUSTAINABLE AGRICULTURE, GIS AND ARTIFICIAL INTELLIGENCE
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Denis Vasiliev; Richard Hazlett; Rodney Stevens; Lennart Bornmalm
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10.5593/sgem2022/5.1
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1314-2704
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English
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22
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5.1
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• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA |
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Food security is one of the most important issues that needs to be addressed in order to achieve UN Sustainable Development Goals. Currently multiple technologies are used in conventional agricultural practices, including application of artificial intelligence and GIS. However, the technologies are rarely considered in sustainable farming practices. Organic agriculture, although gaining traction in recent times, mostly relies on traditional, rather than technologically advanced approaches. There are, however, multiple opportunities to increase efficiency and effectiveness of sustainable farming by integrating it with modern technology. Implementation of such solutions would be particularly important in the Global South, where food insecurity is a severe problem. Obstacles to implementation of highly technological solutions in this context generally include lack of finance and skills. However, recent advances in technologies address both these problems. Thus, it is essential to consider application of modern GIS and artificial intelligence for facilitation of sustainable farming globally.
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conference
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Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM 2022
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22nd International Multidisciplinary Scientific GeoConference SGEM 2022, 04 - 10 July, 2022
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference SGEM
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Turkish Acad Sci.
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441-448
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04 - 10 July, 2022
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website
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8720
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food security, remote sensing, biodiversity, sustainable development, landscape ecology
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