生产力
灵活性(工程)
德尔菲法
农业
业务
农村地区
过程(计算)
新兴技术
农业社会
德尔菲
相关性(法律)
模糊逻辑
农业生产力
环境经济学
产业组织
计算机科学
经济增长
经济
政治学
地理
人工智能
管理
考古
法学
操作系统
作者
Harish Puppala,Pranav R. T. Peddinti,Jagannadha Pawan Tamvada,Jaya Ahuja,Byungmin Kim
标识
DOI:10.1016/j.techsoc.2023.102335
摘要
Technological advances can significantly transform agrarian rural areas by increasing productivity and efficiency while reducing labour intensive processes. For instance, the usage of Unmanned Aerial Vehicles (UAVs) can offer flexibility collecting real-time information of the crops enabling farmers to take timely decisions. However, little is known about the barriers to the adoption of such technologies by rural farmers in emerging economies like India. Building on an extensive literature review, focussed group discussions, and field visits, the barriers impacting the adoption are identified and classified into technical, social, behavioural, operational, economic, and implementation categories. The relevance of each barrier and its importance is evaluated using a hybrid multi-criteria framework built on the theory of Fuzzy Delphi and Fuzzy Analytical Hierarchy Process to identify the most crucial barriers to the adoption of UAVs to implement precision agriculture in rural India. The paper suggests new avenues for accelerating technology adoption in rural areas of emerging economies.
科研通智能强力驱动
Strongly Powered by AbleSci AI