Monitoring data on agricultural production for modeling management decisions

Nadezhda V. Bendik, Aleksey O. Zamaraev, Yaroslav M. Ivan’o, Aleksandr V. Spesivtsev

Irkutsk State Agriculture University, Saint Petersburg Federal research center of the RAS,

Modern digital technologies allow collecting and systematizing information on the activities of agricultural enterprises during the annual cycle, starting with soil cultivation and ending with harvesting, storage, processing and sale of products with the construction of a plan for a new annual cycle. Access to data from fields, farms, satellites, unmanned aerial vehicles, automated agrometeorological sites contribute to the collection of large volumes of information for managing agricultural production at different stages and planning for the short, medium and long term. The development of data monitoring systems, including the use of precision farming methods and satellite information, expands the possibilities of using mathematical modeling to optimize production in conditions of uncertainty of many production-economic, agroclimatic and environmental characteristics.

data monitoring, production processes, agroclimatic and environmental characteristics, optimization, agriculture, enterprise management

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