The rapid development of artificial intelligence (AI) has revolutionized various industries, and precision agriculture is no exception. This paper explores the integration of AI-driven innovations in modern agricultural practices. By leveraging advanced machine learning algorithms, data analysis, and remote sensing techniques, AI has become a pivotal tool for enhancing crop yield and agricultural efficiency. The abstract discusses the ways in which AI aids in precision farming, such as soil analysis, pest management, and crop monitoring. It also examines the potential benefits and challenges of adopting AI technologies in the agricultural sector, emphasizing the need for continuous research and development to ensure sustainable and profitable farming practices. Furthermore, the paper highlights the role of AI in reducing environmental impact through more efficient resource utilization and waste management. In conclusion, AI-driven innovations in precision agriculture have the potential to transform the agricultural landscape, offering new opportunities for farmers and stakeholders to optimize crop production and sustainable resource management.
Brown, O. (2021). AI-driven Innovations in Precision Agriculture. Advanced Sciences, 3(1), 19. https://doi.org/10.69610/j.as.20210517
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