Harnessing artificial intelligence for precision agriculture: enhancing crop yield and sustainability

Abstract

Agriculture, a cornerstone of global food security, is undergoing a significant transformation driven by the integration of Artificial Intelligence (AI) into precision agriculture. Precision agriculture leverages data-driven techniques to optimize farming practices, enhance crop yield, and promote sustainability. This manuscript provides an in-depth exploration of AI's role in precision agriculture, focusing on its applications in crop monitoring, pest and disease prediction, resource management, and yield optimization. Through a comprehensive literature review, analysis of current methodologies, and discussion of real-world applications, the paper highlights the profound impact of AI on modern agriculture. The findings underscored the potential of AI to revolutionize farming by making it more efficient, productive, and sustainable, while also addressing the challenges and barriers to widespread adoption. The manuscript concludes with recommendations for future research and practical implementation strategies, aiming to guide stakeholders in harnessing AI for the benefit of global agriculture