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Uneven distribution.

Jiali Zha 20. Moses Brown School, Providence. “Artificial intelligence in agriculture.” December 2020. Journal of Physics: Conference Series, Vol. 1693, Iss. 1. gautam

From the projection of robot shipments during the period 2011-2013, an average 9% increase each year in the U.S.s, a 12% increase in Asia-Australia countries and an 8% increase in Europe are anticipated. According to this trend, it is estimated that the penetration rate of robots by 2030 will be 15% and will be 75% by 2045. However, the distribution of mechanization can possibly be unevenly distributed with some areas lacking access to resources and having situations which can’t not be changed with science discoveries and technological development [6]. For example, since most AI systems are based on the Internet, their utilization may be restricted in remote or rural areas with the absence of a web service and familiarity with handling AI operations [13]. Therefore, a slower and unequally distributed adoption process of AI in agriculture should be expected, and meanwhile, whether the adoption would increase food production beyond certain natural limits of land or not remains uncertain [6].

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