International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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The Economic Impacts of Ai-driven Agriculture on Small-scale Farmers in Emerging Economics

Author(s) Rishab R, Prajwal M, Somashekara G, Santhrupth H R
Country India
Abstract AI-driven agriculture represents a transformative approach to modern farming, offering small-scale farmers in emerging economies an opportunity to enhance productivity, optimize resource allocation, and increase profitability. This paper examines the economic impact of adopting AI technologies, such as precision farming tools, automated irrigation systems, and predictive analytics, on small-scale farming. Through an analysis of market trends, case studies, and econometric modelling, the study reveals how AI integration can address challenges like resource scarcity and market inefficiencies, reshaping the agricultural landscape. Key findings suggest that while AI adoption significantly enhances productivity and income, barriers such as cost, lack of awareness, and infrastructural deficits hinder widespread implementation. The paper concludes with actionable recommendations to bridge these gaps and maximize AI’s potential for sustainable agricultural growth.
Keywords AI-driven agriculture, small-scale farmers, emerging economies, precision farming, predictive analytics, automated irrigation systems, agricultural productivity, resource optimization, market access, technology adoption barriers, rural infrastructure, sustainable agriculture, public-private partnerships, economic impact, agricultural innovation.
Field Mathematics > Economy / Commerce
Published In Volume 7, Issue 1, January-February 2025
Published On 2025-01-23
DOI https://doi.org/10.36948/ijfmr.2025.v07i01.35717
Short DOI https://doi.org/g82wnm
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E-ISSN 2582-2160
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