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From Conventional to Artificial Intelligence-Based Agriculture

Edited by Vivek Sharma, Edited by Richa Salwan, Edited by Rhydum Sharma

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From Conventional to Artificial Intelligence-Based Agriculture explores the evolving landscape of agriculture as it transitions from traditional practices to advanced, AI-driven solutions. With artificial intelligence (AI) and machine learning (ML) revolutionizing industries worldwide, their impact on agriculture is becoming increasingly significant. These technologies are not only aiding in climate modeling but also opening new possibilities for precision farmingâ€”enabling more accurate crop health diagnostics, efficient resource management, and timely intervention strategies. By integrating conventional agricultural knowledge with cutting-edge AI tools, farmers and researchers can better assess soil conditions, predict optimal planting windows, monitor nutrient dynamics, and understand market trends with greater precision. This convergence of tradition and technology supports more resilient, productive, and sustainable agricultural systems, paving the way for a smarter and more food-secure future.

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