AUTHOR=Jat Raj Kumar , Meena Vijay Singh , Durgude Shubham , Sohane Ravindra Kumar , Jha Ratnesh Kumar , Kumar Abhay , Kumar Ujjwal , Kumar Anjani , Singh Raj Narain , Kumar Suneel , Reddy Illathur R. , Pazhanisamy S. , Kumar Rakesh , Meena Sunita Kumari , Prakash Ved , Kumar Sanjay , Mukherjee Anirban , Kumar Brijendu , Umesh Umesh Narayan , Singh Ranjan Kumar , Chaubey Ravikant , Kumar Vikash , Kumar Mukesh , Kumar Vinod , Sharda Kumari , Singh Susheel , Singh Rama Kant , Kumari Seema , Singh Kamleshwari Prasad , Kumar Govind , Tiwari Ravindra Kumar , Kashyap Vineeta , Kushwaha Suneeta , Das Sripriya , Gautam Prem Prakash , Alam Nurnabi Meherul , Kumar Shailesh , Kumar Sanjay , Upadhaya Bharati , Singh Sumit Kumar , Ghosh Sanchita , Bhagat Shubham , Lenka Amit Kumar 

TITLE=Bridging the gap: challenges and adoption of climate-resilient agriculture technologies in agricultural landscapes across agro-climatic zones of Bihar, India

JOURNAL=Frontiers in Sustainable Food Systems

VOLUME=Volume 8 - 2024

YEAR=2025

URL=https://www.frontiersin.org/journals/sustainable-food-systems/articles/10.3389/fsufs.2024.1504388

DOI=10.3389/fsufs.2024.1504388

ISSN=2571-581X

ABSTRACT=How effective are climate resilient agricultural technologies (CRATs) in overcoming barriers faced in agri-food system by farmers across the different agro-climatic zones (ACZs) of Bihar? This study examines the barriers that hinder farmers in Bihar from adopting CRATs amidst the growing impacts of climate change on global agri-food systems. It focuses on key CRATs, including zero tillage/minimum tillage (ZT/MT), laser land leveling (LLL), climate-resilient variety selection (CRVS), crop diversification (CD), site-specific nutrient management (SSNM), crop calendar and timely sowing (CCTS), and direct-seeded rice (DSR), and investigates the factors affecting their adoption. Using descriptive statistics, correlation analysis, and logistic regression, key factors that influence the adoption of CRATs were identified. Descriptive statistics showed moderate levels of soil health awareness (mean value = 2.70) and climate change awareness (mean value = 2.63). Correlation analysis found that social factors like training received had a positive correlation with the adoption of DSR (correlation coefficient = 0.410). Logistic regression results highlighted that technology awareness significantly influences the adoption of DSR (coefficient = 0.400, p = 0.253), while initial investment costs are major barriers for ZT/MT and LLL (coefficient = 0.400, p = 0.267). Results highlight the need to improve awareness through educational programs, provide technical support, and offer financial incentives to overcome the various barriers farmers faced. Targeted efforts in these areas can significantly increase the adoption of the CRATs, leading to more resilient and sustainable farming systems. Study supports not only the sustainable agricultural development but also align with the United Nations Sustainable Development Goals (SDGs), particularly SDG 1 (No Poverty), SDG 2 (Zero Hunger), SDG 13 (Climate Action), and SDG 15 (Life on Land).