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http://krishi.icar.gov.in/jspui/handle/123456789/76841
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Naveenkumar GS | en_US |
dc.contributor.author | Mallikarjun B Hanji | en_US |
dc.contributor.author | MJ Chandregowda | en_US |
dc.contributor.author | KN Krishnamurthy | en_US |
dc.contributor.author | DM Gouda | en_US |
dc.contributor.author | KB Umesh | en_US |
dc.contributor.author | KP Suresh | en_US |
dc.contributor.author | SS Dolli | en_US |
dc.date.accessioned | 2023-04-12T07:28:39Z | - |
dc.date.available | 2023-04-12T07:28:39Z | - |
dc.date.issued | 2022-09-20 | - |
dc.identifier.citation | Naveenkumar GS, Mallikarjun B Hanji, Chandregowda MJ, Krishnamurthy KN, Gouda DM, Umesh KB, Suresh KP and Dolli SS. (2022). Analysis of socio-economic and other farm level factors for farmers decision making pattern in adopting agricultural innovations in Karnataka. The Pharma Innovation Journal, 11(11): 811-814. | en_US |
dc.identifier.issn | 2277-7695 | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/76841 | - |
dc.description | Not Available | en_US |
dc.description.abstract | The present study, investigate the socio-economic and other farm level factors influencing the decision making pattern in adopting agricultural innovations by farmers of Karnataka, India. A secondary data on decision pattern in adoption of agricultural innovations, socio-economic and other farm level factors of 372 farmers was considered. Multinomial logistic regression model was employed to identify potential influencing factors for decision making pattern by farmers. The result revealed that age, family size, socio-economic status (SES total score), yield, cost of cultivation, number of innovations adopted, gross income and net income were found to be significantly (p<0.05) influencing factors for the decision making patterns viz, informed and induced categories in adopting agricultural innovations. In conclusion, farmers were facing difficulty in decisions making at several situations towards adoption of any new innovations in agriculture mainly because of inadequate information or awareness about new innovations. Farmers need to have more awareness on their economic status, benefit-cost of different crops, adoption of appropriate innovations which controls the decision making pattern of farmers in perception of any new technology. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | The Pharma Innovation | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Socio-economic | en_US |
dc.subject | decision making pattern | en_US |
dc.subject | agricultural innovation | en_US |
dc.subject | multinomial logistic regression | en_US |
dc.subject | Karnataka | en_US |
dc.title | Analysis of socio-economic and other farm level factors for farmers decision making pattern in adopting agricultural innovations in Karnataka. | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | The Pharma Innovation Journal | en_US |
dc.publication.volumeno | 11 | en_US |
dc.publication.pagenumber | 811-814 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | https://www.thepharmajournal.com/special-issue?year=2022&vol=11&issue=11S&ArticleId=16716 | en_US |
dc.publication.authorAffiliation | Department of Agricultural statistics, Applied Mathematics and Computer Sciences, University of Agricultural Sciences, GKVK, Bengaluru, Karnataka, India | en_US |
dc.publication.authorAffiliation | ICAR - Agricultural Technology Application Research Institute, MRS, H.A. Farm Post, Hebbal, Bhoopasandra Main Road, Bengaluru, Karnataka, India | en_US |
dc.publication.authorAffiliation | ICAR - Agricultural Technology Application Research Institute, MRS, H.A. Farm Post, Hebbal, Bhoopasandra Main Road, Bengaluru, Karnataka, India | en_US |
dc.publication.authorAffiliation | Department of Agricultural statistics, Applied Mathematics and Computer Sciences, University of Agricultural Sciences, GKVK, Bengaluru, Karnataka, India | en_US |
dc.publication.authorAffiliation | Department of Agricultural statistics, Applied Mathematics and Computer Sciences, University of Agricultural Sciences, GKVK, Bengaluru, Karnataka, India | en_US |
dc.publication.authorAffiliation | Department of Agricultural statistics, Applied Mathematics and Computer Sciences, University of Agricultural Sciences, GKVK, Bengaluru, Karnataka, India | en_US |
dc.publication.authorAffiliation | ICAR- National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Ramagondanahalli, Yelahanka, Bengaluru, Karnataka, India | en_US |
dc.publication.authorAffiliation | Department of Agricultural Extension, University of Agricultural Sciences, Krishi Nagar, Dharwad, Karnataka, India | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | Peer reviewed Journal | en_US |
dc.publication.naasrating | 5.23 | en_US |
dc.publication.impactfactor | Not listed in Journal Impact factor list | en_US |
Appears in Collections: | AS-NIVEDI-Publication |
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