Bridging the gap between technology and farming in agri-tech: a bibliometric analysis

Abstract

Agri-tech, or the application of technology to agriculture, has the power to transform farming methods and find solutions to the problems the industry faces. With an emphasis on comprehending the significance of numerous disciplines, including Artificial Intelligence (AI), this study presents a bibliometric analysis that attempts to analyze the trends and important disciplines engaged in bridging the gap between technology and farming in agri-tech. The analysis highlights the growing interest and research activity in agri-tech and its related fields by looking at a wide range of academic publications. The results show that AI is becoming a key discipline in agri-tech, with an increase in publications highlighting its potential to boost production, improve resource management, and support sustainable farming. The analysis emphasizes the necessity for interdisciplinary cooperation among researchers, practitioners, policymakers, and farmers in order to close the gap between technology and farming. The agriculture sector may unleash the potential of cutting-edge technologies, resulting in more effective, sustainable, and fruitful farming techniques, by utilizing AI and encouraging interdisciplinary cooperation. The conclusions drawn from this bibliometric analysis lay the groundwork for additional agri-tech research and innovation, opening the door to a revolutionary future for agriculture.