Digital Farming

Janez Trontelj
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Janez Trontelj: University of Ljubljana, Faculty of Electrical Engineering, Slovenia

Agricultural Research & Technology: Open Access Journal, 2020, vol. 24, issue 3, 100-103

Abstract: Close monitoring of the most significant production processes is very important for any kind of production optimization. When talking about agriculture, gathering as much information as possible on soil condition and microclimatic conditions, which include insect activity, is essential for correct decision making in farming. Using a large number of various, low-cost sensors, gives us the opportunity to create a database for a smart farming algorithm. Processing such a database requires a software system, based on self-learning artificial intelligence. This system will later suggest an optimal agricultural activity. Using such a system, the farmer has better opportunities to take the right measures when needed. This article presents the method and the low-cost sensor system for analyzing soil in the field. It is integrated into the digital farming solution.

Keywords: open access; Juniper publishers agriculture open access journals; agriculture peer reviewed journals; sustainable agriculture peer reviewed journals; agriculture research journal; agricultural sciences open access journal; open access journals of agriculture; agriculture journals impact factor; agriculture academic journals; agriculture journals by impact factor; agricultural engineering journals; juniper publishers review (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:adp:artoaj:v:24:y:2020:i:3:p:100-103

DOI: 10.19080/ARTOAJ.2020.24.556270

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