Open AccessHow Artificial Intelligence Improves Agricultural Productivity and Sustainability: A Global Thematic Analysis
Author(s) -
Siddhartha Vadlamudi
Publication year - 2019
Publication title -
asia pacific journal of energy and environment
Language(s) - English
Resource type - Journals
eISSN - 2312-282X
pISSN - 2312-2005
DOI - 10.18034/apjee.v6i2.542
Subject(s) - sustainability , productivity , agriculture , food security , world population , population , thematic analysis , agricultural productivity , business , agricultural economics , natural resource economics , economic growth , economics , geography , developing country , social science , qualitative research , ecology , demography , archaeology , sociology , biology
In the face of the agricultural sector's challenges, food security with an increasing human population and high demand for food is a significant problem. Traditional methods used by farmers have not been sufficient to meet the food requirements of the growing population. As a result, the agricultural sector has begun to deploy artificial intelligence to meet the demand for food and sustainability. This study was conducted to examine how AI improves farmers' productivity and sustainability. Data were analyzed using centering resonance analysis, t-test, ANOVA, and text mining news articles from 2014-2019 in Africa, Asia, Europe, and North America. Results show that AI is used primarily to increase productivity and efficiency and secondarily to address labor shortages and environmental sustainability concerns. The results at the regional level reflect the active adoption of AI in North America and Europe, with increasing efforts in Asia and Africa.