“Cyber Agriculture Extension in Northeast Region of India – A Case Studyâ€

Dr.Varsha Parikh and Mr. AmlanJyoti Thakur
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Dr.Varsha Parikh: Dept of Extension and Communication (EC), Faculty of Family and Community Sciences (FFCSc), the Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, India
Mr. AmlanJyoti Thakur: Dept of Extension and Communication (EC), Faculty of Family and Community Sciences (FFCSc), the Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, India

International Journal of Research and Scientific Innovation, 2025, vol. 12, issue 4, 228-237

Abstract: The study, which was carried out in the Indian state of Assam in 2023–2024, used the Technology Acceptance Model framework to assess perceptions of cyber extension in agriculture. The study’s sample consisted of 86 Subject Matter Specialists (SMSs) who were chosen by a purposive approach from 23 Assamese Krishi Vigyan Kendras (KVKs). Nearly half were middle-aged (31–35 years), and 53.5% had postgraduate degrees, according to demographic data. Moreover, over half had worked for two to seven years, and the majority (74%) had good organizational support in their Assamese KVK. The majority of them (62.8%) demonstrated proficiency in digital abilities, whereas the same percentage (50%) were found to be less knowledgeable and knowledgeable about cyber agricultural extension technologies. Cyber agricultural extension was generally viewed favorably by the majority of respondents (79%) to the research. With respect to Technology Acceptance Model constructs, a significant majority of respondents (72.09% to 63.95%) thought that cyber agricultural extension was helpful and simple to use, respectively. The findings show a moderate level of knowledge and generally positive perceptions of cyber extension, with KVKs of Assam SMSs acknowledging its potential to improve decision support, real-time problem-solving, and farmer outreach. Language obstacles, a lack of technical skills, a lack of digital infrastructure, and opposition to change—particularly in remote and tribal areas—were some of the limitations that were noted. The study recommends the need for institutional support, localized digital solutions, and capacity-building programs. Policymakers, academics, and extension organizations working to close the digital divide in India’s agricultural sector would find this research useful as it provides a region-specific analysis within the larger conversation on digital agriculture.

Date: 2025
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