The adverse effects of climate change can be mitigated through apt interventions like Climate Smart Agriculture (CSA). The adoption of CSA technologies by the farmers is muddled because of the constraints faced by them in different contexts. The motive of the study was to identify the key constraints that inhibit the adoption of CSA technologies by farmers. Suggestions proposed by the farmers for increasing the adoption rates of the CSA technologies were also highlighted in the study. Four blocks with less average rainfall from the climate vulnerable district of Andhra Pradesh were chosen for the study. Two villages from each block were selected based on the highest number of farmers. Multi-stage proportionate random sampling was adopted for the study. Data was collected through open ended questions by personal interview methos. The responses were categorised and subjected to frequency and percentage analysis. The results demonstrated that lack of storage facilities was the major constraint faced by majority (85.71%) of the farmers followed by the uncertain returns and results of the CSA technologies (79.50%) as perceived by the farmers. Government and policy interventions, use of extension approaches in right time might help in overcoming the constraints. Providing trainings on CSA (83.23%) was the most suggested measure as it helps the farmers to increase their knowledge and clear their doubts on the outcomes of CSA. Demonstration of CSA technologies to the farmer improves their knowledge and skill.
The consequences of climate change are posing new challenges to the farming community in all possible forms. The study area, Ananthapuramu district is one of the five vulnerable districts in Andhra Pradesh state with the least average annual rainfall. Considering the rainfall as the criterion, four blocks were chosen for the study with the least average annual rainfall. Two villages from each block were selected based on the highest number of farmers. The sample size was 161 chosen by the Multi-Stage proportionate Random Sampling method. First-hand information was collected from the farmers with the help of a well-structured and pre-tested interview schedule. The findings exposed the medium or moderate behavior of the respondents towards the selected variables and can be enhanced to higher levels by opting for efficiency measures.
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