Avijit Biswas*
Department of Agriculture, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj, BANGLADESH
A.T.M. Sanaul Haque
Department of Agricultural Extension and Rural Development, Patuakhali Science and Technology University, Patuakhali, BANGLADESH
Md Golam Rabbani Akanda
Department of Agricultural Extension and Rural Development, Patuakhali Science and Technology University, Patuakhali, BANGLADESH
Prome Debnath
Department of Disaster Risk Management, Patuakhali Science and Technology University, Patuakhali, BANGLADESH
Agricultural extension, Communication exposure, E-agriculture, ICTs, SAAO
Khulna district of Bangladesh
Knowledge Management
The study was conducted in Khulna district which consist of nine upazilas such as Phultala, Terokhada, Dumuria, Rupsa, Dighalia, Paikgaccha, Batiaghata, Dacope and Koyra upazilas. From nine upazilas, five upazilas (Phultala, Dumuria, Rupsa, Dighalia, Batiaghata) were purposively selected as the locale of the study as these are close to city and may have greater access to e-agriculture.
Population and sample of the study Total number of SAAOs in Dumuria, Rupsa, Dighalia, Batiaghata and Phultala upazilas of Khulna district were 108 which constitute the population of the study. Out of this population, several 100 (93%) respondents were selected as the sample of the study. With the consideration of population size=108, confidence interval=99, margin of error=5 the required number of sample size was 94. Selected sample size can exceed the required sample size. Distribution of population and sample are shown in Table 1.
Collection of data In order to amass pertinent information, an interview schedule was prepared that contained both close and open type questions. Appropriate technique and measurement were applied to ensure correct responses of the variable concern. Data were collected from the respondents through personal contact by the researcher himself. The researcher made all possible efforts to establish rapport with the respondents so that they could feel easy to respond to the questions contained in the schedule. Data collected from the respondents were coded, compiled, tabulated, and analyzed in accordance with the objectives of the study. Qualitative data were converted into quantitative form by assigning suitable score whenever needed. The biasness of usage or uniformity of interview was prohibited.
Statistical tests Descriptive statistical methods like range, mean, percentage distribution and standard deviation were used in describing the dependent and independent variables. For clarity of understanding, tables were used in presenting data. For exploring the relationship between the selected characteristics of the SAAOs with their communication exposure towards e-agriculture Pearson’s Product Moment Coefficients of correlation (r) and regression analysis were used. Throughout the study P<0.05 as 95% of probability was used as a basis for rejecting or accepting the null hypothesis. The SPSS v16.0 (statistical package for social sciences) was used to perform data analysis.
Archives of Agriculture and Environmental Science 4(4): 434-441 (2019)
Journal