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Research Article Open access CC BY 4.0

A Study on Adoption and Factors Determining the Adoption of Recommended Climate Smart Agriculture (CSA) Practices by the Farmers of Telangana State

C. Yuvaraj, K. Ravi Shankar, I. Sreenivasa Rao, K. Supriya, A. D. Sailaja, G. Sreenivas

International Journal of Environment and Climate Change · pp. 97–103 · Published 14 Mar 2022

10.9734/ijecc/2022/v12i530678

Abstract

A study was conducted to identify the adoption of various Climate Smart Agriculture (CSA) practices and factors determining the adoption of recommended CSA practices. Expost facto research design were followed and selected 300 respondents by using random sampling method indicated that majority of the farmers coming under the category of medium (59.7%) extent of adoption of various CSA practices followed by high (30.7%) and low (9.7%). The factors determining the adoption of CSA practices were grouped under seven categories namely Personal, Social, Economic, Environmental, Technological, Marketing and Transfer of technology. Majority of the farmers have size of land holding is very small, followed by the constraint of lack of awareness about adaption strategies were major constraint faced by the farmers. Most of the farmers are not inclined much to be in touch with the changes in environmental climate change, this trend may be due to the idiosyncratic behaviour established by the virtue of their medium to old age, less education and possessing low degree of other profile characteristics and majority of them seemed to be not following the WBAAS regularly as they were taking up the farm activities naturally with time. Then Non availability of the recommended inputs in the market and sometimes due to shortage of the availability of quality inputs, traders sell the inputs at high cost resulting in non-adoption of input intensive CSA technologies. Poor availability and accessibility to short duration drought tolerant crop varieties were observed as a hindrance factors in the adoption of CSA technologies.

Climate smart agriculture (CSA) practices weather based agro advisory services (WBAAS) natural resource management (NRM) managerial ability of farmers and random sampling method

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