000			03465nam a22001937a 4500
003			OSt
005			20250802121308.0
008			250802b ||||| |||| 00| 0 eng d
040			_cCPGS
100			_aKhunjanmayum, Pibarel _910691
245			_aIdentification of AI-agripreneurial models for under-graduate students of CAU, Imphal at Meghalaya: An exploratory research / _cPibarel Khunjanmayum.
260			_aUmiam : _bCPGS-AS, CAU(I) _cSeptember 2024.
300			_a68p. : _bill. , some col.; _c30 cm.
440			_a[Agricultural Extension, School of Social Sciences] _99072
504			_aIncludes bibliographical references.
520			_aArtificial Intelligence (AI) technologies is regarded as a revolutionary technology capable of changing the dynamics of industries, markets, business while also fostering entrepreneurship. IBM Global AI Adoption Index 2023 reported that in India, 74% of the enterprises which actively used AI in their business have accelerated their investments in AI in the past 24 months in areas like R&D and workforce reskilling. The proficiency in using AI tools by the future agricultural workforce can significantly impact the adoption and success of AI-Agripreneurial ventures and understanding the AIAgripreneurial models can provide valuable insights into the potential impact of AI on future agricultural practices. So, the study was conducted with the following objectives i) To ascertain the core-competency of U.G. students of CAU, Imphal in Meghalaya in using FOSS AI tools for leveraging AI-Agripreneurship, ii) To identify a viable AI-Agripreneurial model through Design Thinking. The study followed exploratory research design, cognitive data analytics using ‘System Dynamics’ was administered; and complete enumeration of respondents who were the 3rd Year, U.G. students of College of Agriculture, Kyrdemkulai and College of Community Sciences, Tura under CAU (I) were performed in order to aggregate a sample of 75 respondents. The study could reveal that 77.33% and 22.67% of respondents were female and male respectively. Percentage of 33.33% and 28.00% of them were of the age 21 and 22 years respectively. Majority (60.00%) of the student have ‘Screen time’ between 6 to 12 hours. 80.00% of the students have low ‘Digital AI Literacy’, while 20.00% of them ambit under high category. Very high percentage of 86.67% of the students have high ‘Scientific Orientation’; similarly, 81.33% and 88.00% of the respondents have high ‘Achievement Motivation’ and high ‘Design Thinking Ability’. Majority (65.33%) students have medium ‘AIAgripreneurial Behaviour’. Further the study could unveil that 78.67% and 21.33% of the respondents have ‘Foundational level’ and ‘Intermediate level’ of ‘Core-competency in using FOSS AI tools’. The study could unearth that ‘Design Thinking Ability’ in conjunction with ‘AI-Agripreneurial Behaviour’ could make the students an AI-Agripreneur by about 50.00% & 80.00% during 5 year and 10 years, consecutively. Hence, the findings of the research recommends that integration and application of FOSS AI tools in the modules of ‘Experiential Learning Programme’ and RAWE programme of U.G. students under CAU should be compulsorily promoted in the subsequent academic sessions to foster the AI-driven entrepreneurial landscape in agriculture and allied enterprises.
700			_aR. K. Josmee Singh _eMajor Advisor. _99151
942			_2ddc _cTH
999			_c5858 _d5858