International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
Indexing Partners
AI-Driven Precision Agriculture: Optimizing Crop Yield and Resource Efficiency
Author(s) | Neetu Gangwani |
---|---|
Country | United States |
Abstract | This article explores the multifaceted applications of Artificial Intelligence (AI) technologies in precision agriculture, focusing on their potential to significantly enhance crop yields while optimizing resource utilization. The article examines five key areas where AI is making substantial impacts: predictive analytics for crop management, intelligent irrigation systems, automated pest and disease detection, precision fertilizer application, and robotic harvesting. By integrating data from various sources and employing advanced machine learning algorithms, these AI-driven systems demonstrate remarkable improvements in efficiency, accuracy, and sustainability. The article highlights significant advancements, such as a 15% improvement in yield prediction accuracy, up to 30% reduction in water usage, and a 20% decrease in fertilizer use without compromising crop yields. While acknowledging challenges such as data privacy concerns and initial investment costs, the article underscores the long-term benefits of AI adoption in agriculture, including increased profitability, environmental sustainability, and improved food security. This comprehensive analysis provides insights into how AI-driven precision agriculture is reshaping modern farming practices and its potential to address global food production challenges while reducing agriculture's environmental footprint. |
Keywords | Keywords:Precision Agriculture, Artificial Intelligence, Crop Yield Optimization, Resource Efficiency, Sustainable Farming |
Field | Computer |
Published In | Volume 6, Issue 6, November-December 2024 |
Published On | 2024-11-05 |
Cite This | AI-Driven Precision Agriculture: Optimizing Crop Yield and Resource Efficiency - Neetu Gangwani - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.29913 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i06.29913 |
Short DOI | https://doi.org/g8qfvw |
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