Constraints experienced by farmers in adoption of Climate Smart Agricultural (CSA) Technologies

Introduction

Climate change poses a significant threat to global agricultural systems, particularly in regions already vulnerable to food insecurity and environmental degradation. The increasing frequency of extreme weather events, shifting rainfall patterns, rising temperatures, and unpredictable seasons are severely affecting agricultural productivity and farmers' livelihoods. According to the Intergovernmental Panel on Climate Change (IPCC, 2022) [8] , global surface temperatures have risen by approximately 1.1 °C above pre-industrial levels, and this increase is projected to reach 1.5°C between 2030 and 2052 if current trends continue. These changes have resulted in declining yields for major crops, especially in tropical and subtropical regions, with yields of wheat and maize projected to decline by 6% and 7.4%, respectively, for every 1°C rise in global temperature (Lobell et al., 2011; IPCC, 2022) [11,8] . In response to these mounting challenges, Climate Smart Agriculture (CSA) has emerged as a comprehensive and transformative approach. CSA aims to sustainably increase agricultural productivity and incomes, build resilience and capacity to adapt to climate change, and reduce or remove greenhouse gas emissions wherever possible (FAO, 2013) [4] . It involves the adoption of innovative technologies and practices such as drought-tolerant crop varieties, efficient irrigation methods like drip and sprinkler systems, conservation tillage, agroforestry, integrated pest management (IPM), and improved livestock management practices. Despite the evident benefits of CSA, the adoption rate among farmers remains relatively low, particularly in developing countries. For instance, a report by the Food and Agriculture Organization (FAO, 2021) [5] highlighted that only around 10-15% of smallholder farmers in sub-Saharan Africa and South Asia have adopted any form of CSA practices. In India, while various government schemes promote climate-resilient farming, challenges such as limited awareness, lack of access to credit, poor infrastructure, and weak extension services continue to hinder widespread adoption (Aryal et al., 2021; Khatri-Chhetri et al., 2017) [2,10] . Farmers often face numerous constraints that hinder their ability to implement these technologies effectively. These include limited access to financial resources, inadequate knowledge and training, lack of institutional support, socio-cultural barriers, and issues related to land tenure and infrastructure. Understanding these constraints is essential for designing targeted interventions and enabling wider adoption of CSA practices, especially among smallholder and marginal farmers. The primary objective of this study is to examine the major constraints hindering the adoption of Climate Smart Agriculture technologies among farmers.

Research Methodology

An ex-post facto research design was employed for this study to assess the constraints experienced by farmers in the adoption of Climate Smart Agricultural (CSA) technologies. This design was deemed appropriate since the variables of interest had already occurred and could not be manipulated by the researcher. The study was conducted during the year 2022-23 across seven agro-climatic zones of Tamil Nadu. One representative district was selected purposively from each zone: • Villupuram district from the North Eastern Zone

• Namakkal district from the North Western Zone • Coimbatore district from the Western Zone • Tiruvarur district from the Cauvery Delta Zone • Ramanathapuram district from the Southern Zone • Kanyakumari district from the High Rainfall Zone • The Nilgiris district from the Hilly Zone A multi-stage stratified sampling method was adopted. In the first stage, one district was chosen from each zone. In the second stage, suitable villages were identified within each district. In the final stage, 30 progressive farmers were selected from each district based on their adoption of CSA technologies or their participation in the NICRA (National Innovations in Climate Resilient Agriculture) program. These farmers were considered knowledgeable and experienced in CSA practices.In total, 210 farmers (30 from each of the 7 districts) constituted the primary respondents for the study. A structured and pre-tested interview schedule was used to collect data through personal interviews, ensuring clarity, reliability, and relevance of the questions. Data Analysis were done using the statistical tools such as percentage analysis, frequency and Mean Percentage Score.

Results and Discussion

The constraints faced by the farmers in adopting climate smart agricultural technologies is given in the Table 1. [10,2] . These findings address the technological barriers that hinder the adoption of CSAT. Therefore, there is a need to prioritize improving the accessibility of high-quality inputs, bridging the gap in technology dissemination, and ensuring that farmers have the necessary resources.

Information and knowledge management constraints

The data presented in [1,12] . The findings reveal critical challenges in the dissemination and credibility of information related to CSAT among farmers. Addressing these constraints is crucial for empowering farmers with the knowledge and resources necessary to adopt climate-smart agricultural practices.

Policy and institutional barriers

From Table 1 [5,7] . These findings demonstrate the importance of addressing policy and institutional constraints to facilitate the adoption of CSAT. There is a clear need for increased government support, institutional reform, and initiatives to combat corruption in order to create a more favorable environment for farmers.

Financial constraints

It is evident from Table 1, that the high cost of inputs is identified as the most severe financial constraint (Rank I, MPS = 4.30), with a substantial majority of respondents (49.52%) considering it a very severe constraint. Low income is ranked as the second most significant financial constraint (Rank II, MPS = 3.32), which affects farmers' ability to invest in CSAT. A high percentage of respondents (42.38%) view low income as a major limitation, suggesting that their financial ability to adopt innovative and often expensive sustainable practices is restricted. Lack of access to credit facilities is ranked as the third constraint (Rank III, MPS = 3.00), highlighting the challenge farmers encounter in obtaining credit to invest in CSAT. Despite the potential of these technologies to enhance productivity and sustainability, the lack of financial services that meet farmers' needs hinders their adoption. Lack of funds is ranked fourth (Rank IV, MPS = 2.14). The general scarcity of funds encompasses broader financial challenges beyond credit access, reflecting the overall economic constraints that farmers encounter. The high cost of inputs, low income levels, and lack of access to tailored credit products severely limit farmers' ability to invest in CSA technologies (Saini et al., 2021; Zilberman et al., 2018) [14,15] . These findings underscore the crucial role of financial support in facilitating the adoption of CSAT. Addressing the high cost of inputs and low income requires a multifaceted approach that includes subsidies, incentives, and financial products specifically designed for smallholder farmers.

Socio-cultural barriers

In Table 1, the data shows that Benefits are Perceived Late as the most significant socio-cultural constraint (Rank I, MPS = 4.81), with an overwhelming majority of respondents (83.81%) considering it a very severe constraint. Conflicts among farmers are ranked as the second most critical socio-cultural constraint (Rank II, MPS = 2.18), which reflect the complexities of community dynamics and differing opinions on farming practices, and 21.43 per cent of respondents perceived this constraint as a significant issue. Lack of interest is the thirdranked constraint (Rank III, MPS = 1.87), with a major portion of respondents (53.81%) considering it not a constraint at all. Socio-cultural perceptions and delayed realization of benefits from CSAT often lead to hesitation and resistance among traditional farming communities (Gbetibouo, 2009; Moser & Ekstrom, 2010) [6,13] . However, the existence of this limitation, even if considered less severe, highlights the difficulty of involving farmers who may resist changing traditional practices or be skeptical of new technologies. Addressing socio-cultural constraints is crucial for creating a supportive environment for CSAT adoption. [3,9] . While not as critical as the other factors, based on the findings, addressing these infrastructure and labor constraints is crucial for enabling the wider adoption of CSAT markets. Overcoming the challenge of limited space for water structures may involve innovative approaches to water management and conservation that are adaptable to small and constrained spaces. Together, tackling these constraints necessitates a coordinated approach.

Infrastructure and Labour constraints

Conclusion

The study comprehensively examined the multifaceted constraints hindering the adoption of Climate Smart Agricultural Technologies (CSAT) among progressive farmers across seven agro-climatic zones of Tamil Nadu. The findings reveal that despite a growing awareness of the importance of CSA in combating the adverse effects of climate change, farmers face several technological, informational, financial, institutional, socio-cultural, infrastructural, and labor-related challenges that limit effective adoption. Among the most severe constraints identified were high input costs, lack of labor availability, high labor charges, and the perception that benefits from CSA are realized only after a long time. Technological barriers such as the inaccessibility of quality inputs and lack of improved technologies also significantly affected adoption. Additionally, delays in the flow of information, weak institutional support, and limited access to credit further exacerbated these issues. Sociocultural factors, including inter-farmer conflicts and traditional beliefs, while less severe overall, still presented localized barriers.

The study emphasizes that a one-size-fits-all approach is inadequate to address these diverse constraints. Instead, a region-specific, need-based, and integrated strategy involving government agencies, research institutions, extension systems, and community-based organizations is essential. Strengthening access to quality inputs, improving credit and subsidy mechanisms, enhancing farmer training and demonstration programs, promoting market linkages, and encouraging community participation can collectively help overcome the current adoption barriers. Ultimately, enabling the wider and more effective adoption of CSAT among farmers will not only improve productivity and resilience but also contribute significantly to sustainable agricultural development and climate change mitigation in Tamil Nadu and beyond.

References

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