ARTIFICIAL INTELLIGENCE AND PRECISION AGRICULTURE: OPTIMIZING CROP MANAGEMENT AND YIELD_ A NARRATIVE REVIEW

The integration of Artificial Intelligence (AI) in precision agriculture represents a transformative advancement in optimizing crop management and yield. This narrative article examines the role of AI technologies in enhancing agricultural practices by analyzing recent developments in AI-driven tools and methods. The review synthesizes findings from various studies to highlight the impact of AI on crop monitoring, predictive analytics, and decision-making processes. Key AI applications such as artificial intelligence, precision agriculture, crop management, yield optimisation are explored to understand their effectiveness in improving crop management strategies. The article identifies emerging trends and future research directions, emphasizing the potential of AI to address challenges in precision agriculture and promote sustainable farming practices

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Publication Details

Journal
Labuan Bulletin of International Business and Finance (LBIBF)
Published
2024-12-24
DOI
https://doi.org/10.51200/lbibf.v22i2.5800
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

ARTIFICIAL INTELLIGENCE AND PRECISION AGRICULTURE: OPTIMIZING CROP MANAGEMENT AND YIELD_ A NARRATIVE REVIEW

Abdul Rahman Razak
2 links
Labuan Bulletin of International Business and Finance (LBIBF)
Smart Agriculture and AI
article

ARTIFICIAL INTELLIGENCE AND PRECISION AGRICULTURE: OPTIMIZING CROP MANAGEMENT AND YIELD_ A NARRATIVE REVIEW

Abdul Rahman Razak
article en

Abstract

The integration of Artificial Intelligence (AI) in precision agriculture represents a transformative advancement in optimizing crop management and yield. This narrative article examines the role of AI technologies in enhancing agricultural practices by analyzing recent developments in AI-driven tools and methods. The review synthesizes findings from various studies to highlight the impact of AI on crop monitoring, predictive analytics, and decision-making processes. Key AI applications such as artificial intelligence, precision agriculture, crop management, yield optimisation are explored to understand their effectiveness in improving crop management strategies. The article identifies emerging trends and future research directions, emphasizing the potential of AI to address challenges in precision agriculture and promote sustainable farming practices

Labuan Bulletin of International Business and Finance (LBIBF)Vol. 22(2)
University College of Technology (CM), University of Technology Sarawak
Openalex Percentile: Top 83%
Smart Agriculture and AI
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