The present study to assess the technology adoption behaviour of farmers of different land based enterprises under diversified farming system was conducted in Sonitpur district of Assam, India. A sample size of 135 farmer respondents was drawn from three Agricultural Sub-Divisions of the district by using proportionate random sampling technique. The study shows that among the socio-economic variables under study, except age, other variables namely; education, extension contact and annual income were found having positively significant correlation with technology adoption of all the selected enterprises, while the variable operational land holding had shown positive and significant relation with rice cultivation and dairy farming. The study further reveals that economic motivation and innovation proneness were the two psychological variables which had positive and significant correlation with technology adoption of all selected four enterprises. While variables-risk orientation, decision making ability and attitude towards farm diversification of the respondents had positively significant association with technology adoption of dairy and fishery, fishery and rice, vegetable and fishery respectively under diversified farming system.
A case-control study was conducted in Chuadanga district of Bangladesh to investigate risk factors for Peste des petits ruminants (PPR) that occurred during November-December 2014 in goat farms. A total of 37 farms were reported to be PPR cases based on active and passive surveillance from 4 villages of Chuadanga Sadar and Damurhuda sub-districts. Fifty-five 'control-farms' were selected from the same 4 villages. Farmers of both case and control farms were interviewed using a pre-tested semi-structured questionnaire for data collection on potential risk factors. Logistic regression analysis was used to evaluate the association between potential risk factors and disease outcome. Focus group discussions with farmers and livestock personnel in the selected villages were conducted using 'participatory epidemiological' (PE) approach to identify issues with PPR in the villages. The results showed that 27% of the case-farms (n=10) were vaccinated, 60% (n=6) of which were vaccinated two times and 40% (n=4) single time in a year. About 50% (n=20) farms used 'perch/macha' and the other 50% used 'mud' type of housing. The morbidity and case-fatality rate in casefarms were 15.49%, 54.54%, respectively. Adoption of single time annual vaccination and using perch/ macha housing were significant protective factors (OR=0.03, 95% CI=0.008-0.1, p<0.001; OR=0.29, 95% CI= 0.11-0.74, p=0.004 respectively). Vaccination done twice in a year significantly lowered infection when compared to one time vaccination (OR=0.21, 95% CI=0.05-0.79, p=0.02). The results from PE showed that proper labeling of PPR vaccines, logistics for mass vaccination and spreading awareness, are necessary for successful PPR prevention. In conclusion, control of PPR in this district may be achieved by single time annual vaccination with a maximum coverage along with adoption of perch housing in all goat rearing farms in the district.
Presently most governments and private institutions have integrated the smart classroom approach in their campus to bring smart learning to their student learning experience. Due to the advent of this educational technology students are naturally tempted to be inside the classroom and learning occurs better than traditional classroom learning. This chapter has identified the challenges of how students handle the situation while working with technology and it explores a potential solution to overcome hurdles faced by students and educators in higher education. This problem-solving solution may help for sustainable development. This paper explains present technological advancement, its importance, and its application. This chapter concludes that there are numerous advantages in implementing the technical aspect of education but at the same time need skills to solve the technological issue.
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