Open AccessArtificial intelligence in agriculture of Kabardino-Balkaria: current state, problems and prospects
Author(s) -
B. A. Kushkhova,
M. Sh Gazaeva,
Anzor V. Gyatov,
З А Иванова,
М. Н. Энеева
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/315/2/022013
Subject(s) - agriculture , productivity , yield (engineering) , agricultural productivity , state (computer science) , agricultural science , point (geometry) , transfer (computing) , agricultural economics , business , mathematics , agricultural engineering , computer science , environmental science , geography , engineering , economics , economic growth , archaeology , physics , algorithm , geometry , parallel computing , thermodynamics
Kabardino-Balkaria, occupying a little more than 0.07 % of the total area of Russia, produces almost 1.0 % of agricultural products, including 0.85 % of grain (more than 1.1 million tons and more than 1300 kg per person, whereas in the country this figure is only 920 kg), for vegetables it is more than 3.6% (about half a million tons and more than 576 kg per person, whereas in general in Russia it is only about 93 kg), for fruit and berries it accounts more than 8% (producing more than 215 thousand tons and almost 250 kg per person, despite the fact that in the country it is just over 18 kg). All this is achieved not due to the size of the sown area, which accounts for 0.35% in the sown area of Russia, but due to the introduction of new technologies, among which artificial intelligence (AI) plays an important role, ensuring the growth of labour productivity, yield and food production. The industry is in the process of separating the sub-sectors (and segments) associated with the use of AI and the formation of a corresponding subsystem, which in the future may be separated into an independent industry. In this regard, a number of problems arise, first of all, overcoming the transfer of AI created in agriculture, secondly, the transition from the so-called point or localized use of AI to the system, through the expansion and deepening of the use of AI. Apparently, in both cases we are talking about the transition to a new, more perfect form of AI. The above-mentioned issues are described in the paper.