Skip to content
Research Article Open access CC BY 4.0

Adoption and Challenges of Climate-resilient Technologies among Farmers in Semi-arid Regions: A Case Study of Kukargaon, Jalaun District of Uttar Pradesh, India

Vister Joshi, Shalini, S M Tripathi, Rajneesh Chandra, A K Gautam, Somdutt Tripathi

International Journal of Environment and Climate Change · pp. 381–388 · Published 17 Jan 2026

10.9734/ijecc/2026/v16i15240

Abstract

This study explores the impact of climate change on agriculture in Kukargaon, a village in Jalaun district, Uttar Pradesh, within the semi-arid Bundelkhand region. The region's agricultural productivity has been significantly affected by climate variability, including reduced rainfall and rising temperatures, resulting in decreased crop yields, especially for wheat and pulses. The study assesses farmers' awareness and adoption of climate resilience technologies (CRTs) such as drought-resistant seeds, efficient irrigation systems, and agroforestry. It finds that while awareness of CRTs like drought-resistant seeds is relatively high, adoption remains low due to economic barriers, including high costs, limited access to credit, and lack of knowledge and training. The research highlights that although farmers acknowledge the benefits of CRTs, such as increased yields and improved soil fertility, practices like agroforestry and integrated pest management face slower adoption. The study suggests that targeted interventions, including financial support, improved agricultural extension services, and culturally sensitive training programs, are essential to increase CRT adoption. Addressing structural barriers and ensuring broader access to resources are crucial steps toward building climate resilience in the region.

Climate resilience technologies smallholder farmers adoption barriers Bundelkhand drought-resistant seeds

Cited by 1

Article metrics

Real usage data collected on this platform.

37

Page views

0

PDF downloads

3

Outbound clicks

1

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.