ICETETI-2024 | View PDF
Paper Id:ICETETI-MSM114
doi: 10.71141/30485037/ICETETI-MSM114

Leveraging AI for Sustainable Agriculture: Optimizing Water and Resource Usage in the Face of Climate Change

Isabella Evans, Muhammadu Sathik Raja Sathik Raja M.S

Citation:
Isabella Evans, Muhammadu Sathik Raja Sathik Raja M.S, "Leveraging AI for Sustainable Agriculture: Optimizing Water and Resource Usage in the Face of Climate Change" International Journal of Multidisciplinary on Science and Management, pp. 122-130, 2024.

Abstract:
Sustainable agriculture is crucial in addressing global food security and environmental concerns, particularly in the context of climate change. Artificial Intelligence (AI) presents significant opportunities to optimize resource usage, including water management, soil health, and crop monitoring. This paper explores AI-driven approaches to enhance sustainability in agriculture by improving efficiency, reducing waste, and mitigating climate-related risks. We provide a comprehensive review of AI applications in water resource management, precision farming, and predictive analytics. Furthermore, we propose an AI-based framework for optimizing agricultural inputs, discuss real-world implementations, and highlight challenges and future research directions.

Keywords: Sustainable Agriculture, Artificial Intelligence, Precision Farming, Climate Change, Water Resource Optimization, Machine Learning, Smart Irrigation, Environmental Sustainability.

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