Utilisation of Artificial Intelligence-related Technology for Agricultural Extension Services among Extension Professionals in India

Background: The research examined the current understanding and utilization of AI-based digital technology in agricultural extension services. It assessed the level of adoption and identified the advantages and disadvantages of incorporating such technology. Methods: To collect data, a structured online questionnaire was employed and responses were gathered from 131 extension professionals based in India. The data were analyzed using percentage and mean. Result: The findings revealed that approximately 75.25% of the respondents had used AI-based digital technology at least onceand 61.48% were aware of its potential applications in agriculture extension services. Among those who used AI-based technology, about 45% were able to propagate innovations, while 33.60% showcased innovations and technologies. One of the major benefits, as reported by 80.25% of the participants, was the technology’s capacity to reach the target audience universally and at any time. However, 72.50% of respondents identified the high costs associated with its digital enablers as the primary drawback. The study highlighted a significant level of awareness among agricultural extension specialists regarding AI-based digital technologies. However, the actual utilization of these technologies in their services remained relatively low. To address this gap, the research recommends organizing on-the-job capacity building initiatives for current professionals. These programs aim to promote the adoption of AI-based digital technologies in agricultural extension services throughout India.