Statista Racing Bar Animations: Agrarian Societies
Did you know that 50 percent of the world's habitable land is used for agriculture, according to data from the UN Food and Agriculture Organization (FAO)?
Dive into the data behind Smart Agriculture on our stats & facts page - https://www.statista.com/topics/4134/smart-agriculture/
This racing bar visualizes the share of land area used for agriculture, measured as a percentage of total land area. According to Our World in Data, agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures.
The amount of land allocated for agriculture varies greatly at the country level across global regions, from less than 10 percent in some parts of Sub-Saharan Africa and Scandanavia, to close to 80 percent in other countries.
Smart agriculture is used to enhance agricultural productivity, address agricultural-based issues, such as food demand, and make farms more connected and intelligent. The market value of smart agriculture worldwide is forecast to reach around 34 billion U.S. dollars by 2026.
Agricultural robots are being developed for a wide variety of tasks, such as assisting with physical labor and harvesting crops. By 2030 it is forecast that there will be almost six times more agricultural robots worldwide as there were in 2020. During the same time period, the global market value of autonomous tractors is expected to see a similar rate of growth, reaching a value of approximately 11.6 billion U.S. dollars by 2030.
Precision farming is set to become the most influential agricultural trend in developed countries. The market value of precision farming is also expected to grow from 6.73 billion U.S. dollars in 2021 to 14.44 billion U.S. dollars by 2027. The majority of artificial intelligence in agriculture is used in field farming, followed by livestock farming.
Other applications of IoT in smart agriculture include Variable Rate Technology (VRT), agriculture drones, soil monitoring systems, and precision livestock monitoring and management. The main drivers of smart agriculture include: the realities of a changing climate, a need to conserve water, and its emphasis on the enhancement of efficiency through resource optimization and cost minimization.
#agriculture #farming #economy
Видео Statista Racing Bar Animations: Agrarian Societies канала Statista
Dive into the data behind Smart Agriculture on our stats & facts page - https://www.statista.com/topics/4134/smart-agriculture/
This racing bar visualizes the share of land area used for agriculture, measured as a percentage of total land area. According to Our World in Data, agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures.
The amount of land allocated for agriculture varies greatly at the country level across global regions, from less than 10 percent in some parts of Sub-Saharan Africa and Scandanavia, to close to 80 percent in other countries.
Smart agriculture is used to enhance agricultural productivity, address agricultural-based issues, such as food demand, and make farms more connected and intelligent. The market value of smart agriculture worldwide is forecast to reach around 34 billion U.S. dollars by 2026.
Agricultural robots are being developed for a wide variety of tasks, such as assisting with physical labor and harvesting crops. By 2030 it is forecast that there will be almost six times more agricultural robots worldwide as there were in 2020. During the same time period, the global market value of autonomous tractors is expected to see a similar rate of growth, reaching a value of approximately 11.6 billion U.S. dollars by 2030.
Precision farming is set to become the most influential agricultural trend in developed countries. The market value of precision farming is also expected to grow from 6.73 billion U.S. dollars in 2021 to 14.44 billion U.S. dollars by 2027. The majority of artificial intelligence in agriculture is used in field farming, followed by livestock farming.
Other applications of IoT in smart agriculture include Variable Rate Technology (VRT), agriculture drones, soil monitoring systems, and precision livestock monitoring and management. The main drivers of smart agriculture include: the realities of a changing climate, a need to conserve water, and its emphasis on the enhancement of efficiency through resource optimization and cost minimization.
#agriculture #farming #economy
Видео Statista Racing Bar Animations: Agrarian Societies канала Statista
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8 октября 2022 г. 16:00:34
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