A Review on Levering Technology for Sustainable Development in Agricultural Extension Program

Ramesh Chand Bunkar, Ananda K R, Kapil Kumar, Baisakhee Sadangi, Bandana Shahu Gupta, D. R. K. Saikanth, Anoop Shukla
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Abstract

The transformative potential of technology in agricultural extension programs and its implications for sustainable development. By integrating technologies such as artificial intelligence (AI), machine learning, blockchain, and precision farming tools, agricultural practices can be significantly improved in terms of efficiency, productivity, and sustainability. The discussion is organized into a comprehensive framework that examines successful implementations and outcomes in both developed and developing regions, highlighting case studies that demonstrate the beneficial impacts of technology on farming. Key challenges such as the digital divide, financial constraints, policy and regulatory hurdles, and environmental considerations are critically analyzed to understand the barriers to technology adoption and effective integration. Recommendations are made for policy adjustments, the deployment of inclusive technology strategies, and considerations for long-term sustainability to ensure that these technological advancements contribute effectively to global food security and adhere to Sustainable Development Goals (SDGs). Additionally, future directions are suggested, focusing on emerging technologies like next-generation biotechnologies and their potential impacts. The paper concludes that while the introduction of innovative technologies in agricultural extension holds great promise for transforming agricultural practices, a balanced approach is required. This approach should not only embrace technological innovation but also address the socio-economic and environmental challenges associated with technology adoption. Through strategic policy frameworks, tailored technology solutions, and ongoing support for capacity building, technology can be effectively leveraged to enhance agricultural productivity and sustainability, thereby supporting the broader objectives of economic stability, environmental stewardship, and social equity in rural communities worldwide. The insights provided in this paper are intended to guide policymakers, stakeholders, and practitioners in the agricultural sector towards more effective and sustainable integration of technology in agricultural extension services.
农业推广计划中利用技术促进可持续发展综述
技术在农业推广计划中的变革潜力及其对可持续发展的影响。通过整合人工智能(AI)、机器学习、区块链和精准农业工具等技术,可以显著提高农业实践的效率、生产力和可持续性。讨论以一个综合框架为组织形式,研究了发达地区和发展中地区的成功实施和成果,重点介绍了展示技术对农业有益影响的案例研究。对数字鸿沟、资金限制、政策和监管障碍以及环境因素等关键挑战进行了批判性分析,以了解技术采用和有效整合的障碍。就政策调整、包容性技术战略的部署以及长期可持续性的考虑提出了建议,以确保这些技术进步能有效促进全球粮食安全并实现可持续发展目标(SDGs)。此外,还提出了未来的发展方向,重点关注下一代生物技术等新兴技术及其潜在影响。本文的结论是,虽然在农业推广中引入创新技术为改变农业实践带来了巨大希望,但需要采取一种平衡的方法。这种方法不仅应包括技术创新,还应解决与采用技术相关的社会经济和环境挑战。通过战略政策框架、量身定制的技术解决方案以及对能力建设的持续支持,可以有效地利用技术提高农业生产力和可持续性,从而支持全球农村社区实现经济稳定、环境管理和社会公平等更广泛的目标。本文提供的见解旨在指导农业部门的政策制定者、利益相关者和从业人员更有效、更可持续地将技术融入农业推广服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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