Description
Analysis of radio frequency identification technology in the management of small livestock.
Abstract
The research analyzed radio frequency identification technology in the management of small ruminant animal among farmers in Makurdi Local Government Area of Benue State, Nigeria. The population of the study comprised of all small ruminant farmers who use radio frequency identification technology. Due to the enormity of the population, 120 respondents were selected using snowball technique. Data were collected using structured questionnaire administered on the respondents through interviews. Data collected were analyzed using descriptive and inferential statistics. Findings revealed that 52.3% were aged between 21 and 30 years, 47.5% were married, 43.3% reared animals, 53.3% had a household size of between 1 and 5 persons, 35% had between 11-20 animals, 72.2% had annual income of at last N100,000 from rearing animals, 80% had spent at least 10 years in rearing small ruminant animals and 44.2% attended secondary education. On level of awareness, 62.5% had moderate level of awareness on the use of radio frequency identification technology, a mean score of 3.14 perceived radio frequency identification technology as been very expensive. One of the major challenges faced b the respondents in the use of radio frequency identification technology was poor information and communication technology infrastructure. Result of the binary logistic regression showed that the number of animals reared, estimated income farming experience, level of education positively affected the use of radio frequency identification technology at 50% level of probability. Conclusively, small ruminant farmers used radio frequency identification technology, their level of awareness was moderate and some socio-economic characteristics including the number of animals kept, income, experience and level of education positively affected its application
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