• Sanjay Lilhare
• Pratik Sanodiya
• Vineet Kumar Dwivedi
• T. Singh

Artificial Intelligence (AI) has emerged as a transformative force across various industries, revolutionizing the way we approach problem-solving and decision-making. In recent years, the application of AI has extended its reach to the realm of agriculture, specifically in soil management. Soil, a fundamental component of the agricultural ecosystem, plays a crucial role in determining crop productivity, nutrient content, and overall ecosystem health. As the global population continues to grow, the demand for food also rises, making efficient and sustainable soil management practices imperative. The integration of AI into soil management brings forth a paradigm shift in traditional farming methods, allowing for precision agriculture and data-driven decision-making. AI technologies, such as machine learning, data analytics, and robotics, are being harnessed to optimize soil health, maximize crop yields, and minimize environmental impact. This marks a significant departure from conventional approaches, providing farmers with valuable insights and tools to address challenges associated with soil degradation, nutrient depletion, and climate change.

"Leveraging Artificial Intelligence (AI) for Soil Management: A Comprehensive Overview", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.n230-n238, April-2024, Available :http://www.jetir.org/papers/JETIR2404D27.pdf

"Leveraging Artificial Intelligence (AI) for Soil Management: A Comprehensive Overview", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppn230-n238, April-2024, Available at : http://www.jetir.org/papers/JETIR2404D27.pdf