Leveraging AI for Sustainable Agriculture: Opportunities and Challenges

PAWAN WHIG

Abstract


Agriculture is facing numerous challenges, including climate change, population growth, and declining natural resources. Artificial intelligence (AI) has the potential to transform agriculture, enabling farmers to optimize crop yields, reduce waste, and improve sustainability. In this paper, we present an overview of the state-of-the-art in AI-based sustainable agriculture, including applications in crop management, soil analysis, and precision farming. We also discuss the challenges associated with implementing these techniques in real-world agricultural settings, such as data quality, model interpretability, and the need for specialized expertise. Additionally, we present case studies highlighting successful applications of AI-based sustainable agriculture, demonstrating the potential of these techniques to improve crop yields, reduce waste, and promote sustainable farming practices. Finally, we discuss future directions for research and development in this area, including the integration of new data sources, the development of explainable AI techniques, and the need for interdisciplinary collaboration between agricultural and AI experts.

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