Global Journal of Science Frontier Research, D: Agriculture and Veterinary, Volume 22 Issue 1

c) Level of usage of ICTs by the respondents The result presented in Table 3.3 indicated that the farmers had level of usage of mobile phone (3.77), radio (3.57), television(3.33) implying that mobile phone, radio and television are highly used by arable farmers in the study area. This finding corroborates the finding Olaniyi and Ismaila, 2016 who reported that the most available ICT tools for accessing information by farmers were cell phone, radio and television. The result further agrees with Nnenna (2013) who found that the most readily available ICT facilities owned, accessed and utilised by most farmers were radio, television and phones were. In addition, this finding is in line with Anyoha et al., (2018) who reported that mobile phone is the most readily available (ICT) device and this is followed by radio. Table 3: Level of usage of ICTs by the respondents ICTs Regularly used Occasionally used Rarely used Not used Mean Mobile Telephone 202(84.2) 22(9.2) 14(5.8) 2(0.8) 3.77 Radio 160(66.7) 58(24.2) 20(8.3) 2(0.8) 3.57 Television 124(51.7) 80(33.3) 28(11.7) 8(3.3) 3.33 Video recorder 22(9.2) 76(31.7) 108(45.0) 34(14.2) 2.35 Projector 10(4.2) 50(20.8) 68(28.3) 112(46.7) 1.82 Telegram 14(5.8) 40(16.7) 66(27.5) 120(50.0) 1.78 Computer 36(15.0) 52(21.7) 82(34.2) 70(29.2) 2.25 Internet 36(15.0) 74(30.8) 90(37.5) 40(16.7) 2.44 Print media 34(14.2) 26(10.8) 88(36.7) 92(38.3) 2.01 Percentages are in parenthesis Grand mean = 2.59 Source: Field Survey, 2021 d) Factors influencing the use of ICTs among arable farmers Multiple regression analysis result in showed that R 2 was 0.645. This means that about 64.5 percent variation in the dependent variable was caused by changes in independent variables included in the regression model. The low value of Durbin-Watson constant (1.745) indicates absence of autocorrelation meaning that since important variables were included in the regression model. Statistically reliable and dependable result was shown by the low value of standard errors of the estimates (0.3069). The results indicated that farming experience was significantly influencing the use of ICTs among arable farmers at 1% level of significance and had a positive coefficient of 0.012. This implies that a unit increase in farming experience would increase the use of ICTs by 0.012 unit. This might be due to the fact that experienced farmers would have sought for and acquired the knowledge and skill on ICTs over time to utilize ICTs as a source of agricultural information. This finding is in consonance with findings of Williams and Agbo (2013) that years of farming experience significantly influencing the use of ICTs among farmers. It was also revealed that the coefficient of household size (0.076) was significant at 10% level of significance and had positive relationship with use of ICTs among farmers. This implies that a unit increase in household size would cause an increase in the use of ICTs by 0.076 unit. This is because farmer with high household size might engage in more agricultural activities than farmers with low household members which might result to more reasons to use ICTs. This finding concords with Adegbidi et al. (2012) who reported that household size is a determinant factor in the use of ICTs among farmers. Furthermore, level of awareness had a significant influence on use of ICTs among farmers at 1% level of significance and had a positive coefficient of 0.677 implying that a unit increase in the level of awareness of ICTs would cause an increase in the use of ICTs by 0.677 unit. This finding supports with the findings of Hasan et al . ( 2019) that there is a positive and significant influence between awareness of ICTs and the use of ICTs. The use of Information and Communication Technologies among Farmers in Ekiti State, Nigeria © 2022 Global Journals 1 Year 2022 30 Global Journal of Science Frontier Research Volume XXII Issue ersion I VI ( D )