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Journal of Arts, Society, and Education Studies

Volume 4, 2022 - Issue 3

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AI in Agriculture: Enhancing Productivity and Sustainability

by Barbara Williams 1,*
1
University of Tartu
*
Author to whom correspondence should be addressed.
JASES  2022 4(3):113; https://doi.org/10.xxxx/xxxxxx
Received: 29 July 2022 / Accepted: 30 August 2022 / Published Online: 30 September 2022
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Abstract

This paper examines the transformative impact of artificial intelligence (AI) in the agriculture sector, focusing on how AI technologies are enhancing productivity and sustainability. Through an analysis of case studies and research findings, the study explores how AI-driven solutions such as precision farming, crop monitoring, and yield prediction are reshaping various aspects of agricultural practices, including cultivation, irrigation, and pest management. It discusses the potential benefits of AI in improving crop yields, reducing resource usage, and mitigating environmental impacts, while also addressing challenges related to data access, adoption barriers, and ethical considerations. Additionally, the paper examines the role of AI in enabling more efficient and data-driven farming techniques, by analyzing environmental data, optimizing resource allocation, and providing real-time insights and recommendations to farmers. Furthermore, it discusses the importance of collaboration between farmers, technology providers, and policymakers, investment in AI research and development, and capacity-building initiatives in harnessing the full potential of AI in agriculture. The findings underscore the transformative power of AI in creating more sustainable, resilient, and equitable agricultural systems to address the challenges of food security and climate change.

Keywords: Artificial Intelligence; Agriculture; Productivity; Sustainability; Precision Farming; Crop Monitoring; Yield Prediction;
Copyright: © 2022 by Williams. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
Williams, B. AI in Agriculture: Enhancing Productivity and Sustainability. Journal of Arts, Society, and Education Studies, 2022, 4, 113. doi:10.xxxx/xxxxxx
AMA Style
Williams B. AI in Agriculture: Enhancing Productivity and Sustainability. Journal of Arts, Society, and Education Studies; 2022, 4(3):113. doi:10.xxxx/xxxxxx
Chicago/Turabian Style
Williams, Barbara 2022. "AI in Agriculture: Enhancing Productivity and Sustainability" Journal of Arts, Society, and Education Studies 4, no.3:113. doi:10.xxxx/xxxxxx

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References

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