International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Volume 7 Issue 1
January-February 2025
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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 |
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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 |
Cite This | The Economic Impacts of Ai-driven Agriculture on Small-scale Farmers in Emerging Economics - Rishab R, Prajwal M, Somashekara G, Santhrupth H R - IJFMR Volume 7, Issue 1, January-February 2025. DOI 10.36948/ijfmr.2025.v07i01.35717 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i01.35717 |
Short DOI | https://doi.org/g82wnm |
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