Abstract

Currently, Internet of Things technologies are increasingly used in agriculture. One of the distinctive features of the industry is the territorial dispersion of means of production and objects of labor, so the use of Internet of Things technologies gives the greatest effect here. In the context of the need to strengthen food security for such product groups as milk and dairy products, as well as beef, an important factor in increasing production is a strong feed base. The potential of livestock productivity can be fully realized only through the use of high-quality feed. Since 65-80% of the feed ration of livestock consists of grass feed (hay, haylage, green fodder, silage), this is exactly the segment of feed production where it is necessary to activate the reserves of its development. Obtaining high-quality grass feed depends largely on establishing the timing of mowing grass, when the ratio between the decreasing protein content and the increasing amount of fiber is optimal. Failure to comply with the optimal timing of harvesting grass feed can lead to a decrease in livestock productivity by up to 20%. Taking into account the large areas of forage crops, this task can be solved by using the Internet of Things technology with the use of remote sensing of crops and unmanned aerial vehicles (drones).

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