INTRODUCTION Farmers are dealing with climate-related shocks in agricultural productivity, which has brought the need for agricultural resilience to the center of agricultural policies around the world. Policymakers and development practitioners are increasingly interested in encouraging as many farmers as possible, mostly small-scale farmers, to adapt sustainable farming practices that will strengthen agriculture and food systems. Climate change is, to a large extent, the result of the increase in greenhouse gases (GHG) caused by human activity. Bush burning and deforestation are examples of agricultural operations that contribute to GHG emissions. Climate change has an impact on natural and social systems all across the world. Pachauri and Reisinger (2007) expressed that the world's atmosphere has consistently changed in light of changes in the cryosphere, hydrosphere, biosphere and other environmental and communicating factors. It was broadly acknowledged that human exercises are presently progressively influencing changes in the worldwide atmosphere. However, studies have indicated that underdeveloped countries, particularly India, are more sensitive to climate change's effects. The majority of small-scale farming in India is rain-fed, making it extremely vulnerable to climate change and fluctuation. Many strategies for minimizing the effects of climate change on agricultural production have been proposed. The food and agriculture organization (FAO) is actively striving to assist nations in addressing the problem of managing agriculture to alleviate hunger and poverty. In 2009, the FAO introduced the idea of climate smart agriculture (CSA) to highlight the connections between ensuring food security and combatting climate change through agricultural development, as well as the potential for enormous synergies. In general, the CSA options integrate traditional and innovative practices, technologies and services that are relevant for a particular location to adopt climate change and variability (CIAT, 2014). Climate-smart agriculture (CSA) methods that combine the benefits of increased agricultural production over time, the adaptation and development of resilient agricultural and food security systems, and the reduction of GHG emissions from agricultural activities have shown to be very promising. Neufeldt et al. (2013) stated that all agricultural practices that improve resource-use efficiency or productivity, reduce a community's exposure or vulnerability to climate change, reduce GHG emissions, and increase carbon sequestration are climate smart agriculture practices (CSAP). Adoption of improved management practices, for example, stabilizes and increases farm production even under adverse production conditions, as does the use of stress-tolerant and high-yielding seed varieties/breeds. Rohila et al. (2018) reveal that climate change is reducing agricultural productivity, production stability, and incomes in some way, as well as affecting areas with high levels of food insecurity. Developing climate smart agriculture is thus critical to meeting future food security and climate change goals. The task of informing policymakers has shifted to researchers. Policymakers must be aware of the elements that can impact farmers' adoption of these practices in order to enact well-informed and practical initiatives that will help farmers embrace these practices successfully. Several types of research have been conducted to determine the elements that influence farmers' adaptation of CSA techniques. According to Nyasimi et al. (2017), farmers, financial institutions and agro-consulting service providers should be forced to learn and share CSA practices, climate, and agro-consulting information. Farmers adaptive capacity will undoubtedly improve as a result of this, as will their knowledge and attitudes toward climate-smart agriculture. Aryal et al. (2018) investigated the elements that influence farmers' adoption of CSA methods in India's Indo-Gangetic plains. Farmers' characteristics including gender, education, social and economic capital, as well as farmers' experience with climatic hazards and availability to extension services and training, were found to be important drivers of CSA adoption. CSA focuses on creating climate-resilient food production systems that lead to food and financial security in the face of ongoing climate change and variability (Vermeulen et al., 2012; Lipper et al., 2014). The term "CSA" refers to a collection of farming practices that farmers use in various combinations. Managa and Mhlongo (2016) said that climate smart agriculture provides an evidence-based and location-specific framework that reduces complexity and defines precise implementation pathways, which is urgently needed. The CSA is a strategy that offers much-needed potential. Deressa et al. (2009) stated that farmers' agro-ecological conditions, such as climate and soil, are likely to influence their climate change adaptability. Farmers in drier and hotter climates are more likely to respond to climate change than farmers in colder and wetter climates, according to evidence. Despite the uncertainty about future consequences and implications of climate change, Roberts et al. (2009) argue that efforts must be taken to lessen the susceptibility of natural and socioeconomic systems to climate change (which increases resilience).However, there is limited evidence about CSA acceptance, especially when it comes to small-scale farming. Farmers gain more when they use numerous techniques, because some of the strategies are complementary to one another, allowing them to take advantage of applicable synergies. As a result, implementing a variety of CSA practices aids in the development of a long-term agricultural system that is resistant to shocks caused by climate change and other variables that pose a threat to agricultural productivity (Teklewold et al., 2013). Goklany (2007) said that because of the limited resources of the governments in developing countries, farmers face challenges in identifying and prioritizing key adaptation strategies that can speed up sustainable development at the local level. When developing farm-level climate smart agricultural practices implementation plans, it is critical to utilize adaptation strategies that have been thoroughly examined and prioritized by local farmers in respect to prominent climatic threats in that locality (Khatri-Chhetri et al., (2017). Despite the importance of prioritization of climate smart agricultural technologies at farm level, existing climate change adaptation programmes lack such information for better adaptation planning. Evidences on farmers' prioritization can support key stakeholders make informed decisions that are in line with government policies and institutional arrangements. Also find that the most preferred technologies by local farmers were crop insurance, weather-based crop agro-advisories, rainwater harvesting, site-specific integrated nutrient management, contingent crop planning and laser land leveling. The purpose of this study is to know about farmers' preferences for climate-smart agricultural practices in order to provide local climate change adaptation planning and information. The agricultural practices adapted by the farmers, which have been identified to fit into the profile of climate smart agricultural practices, were considered in the study to investigate the preference level of adaptation of climate smart agricultural practices among the sampled farmers. METHODOLOGY The present investigation was carried out in three randomly selected districts out of the total 15 districts of Chhattisgarh Plains namely Raipur, Dhamtari and Mahasamund. 12 villages were selected randomly for the selection of respondents, 4 villages from each district. From each selected village, 20 farmers were selected randomly, in this way, a total of 240 farmers (Total 12 × 20 = 240) were considered as respondents for the study. These selections were done by using a simple random sampling method for the purpose of the study. Farmers in the study area were surveyed and interviewed using a systematic questionnaire and interview schedule to acquire data from primary sources. Descriptive and inferential statistical tools were used to analyze data. It was analyzed using frequency and percentage, total weighted score and ranking based on the prioritization index. RESULT AND DISCUSSION Prioritization is the process of arranging items or activities in descending order of relative importance. It given the stated goal and vision, what matters most to the respondents now and in the future. Table 1 revealed that most of the respondents prioritize duration of varieties which occupied rank 1st with the highest prioritization index 83.33 per cent followed by integrated farming system occupied 2nd rank with the prioritization index 80.75 per cent and integrated pest management occupied 3rd rank with a prioritization index 79.50 per cent. Moreover, irrigation management ranked 4th with a prioritization index 78.41 per cent, sowing method ranked 5th with a prioritization index 71.16 per cent, and multiple resistance to major insect/disease ranked 6th with a prioritization index 69.83 per cent. The cropping system ranked 7th with a prioritization index 68.16 per cent, crop diversification ranked 8th with a prioritization index 65.91 per cent and post-harvest management ranked 9th with a prioritization index 57.33 per cent. It was also shown that respondents place a lower priority on crop rotation, organic agriculture and soil conservation which ranked 10th, 11th and 12thwith a prioritization index 56.50 per cent and 54.08 per cent and 47.25 respectively. Even though there are anticipated benefits and it can also help to mitigate the negative consequences of climate change. Similar findings were reported by Khatri-Chhetri et al., (2017) ; Weldegebrial et al., (2019). Here, after ranking the selected practices according to their preference described farmers' overall preferences for climate smart agricultural practices based on their climatic condition and perceived risk. The majority (69.16%) of the farmers belonged to medium level of prioritization and 19.17 per cent were low prioritization level of climate smart agricultural practices. While very few 11.67 per cent of the farmers belonged to high prioritization level. It may be because of a lack of knowledge about climate smart agricultural practices, risk bearing ability and financial problems.