Indian agriculture is widely regarded as the backbone of the economy; however, it faces mounting challenges from rapid population growth, climate change and dwindling resources. In this context, Artificial Intelligence (AI) has emerged as a transformative scientific solution. By leveraging data analytics, predictive modeling, automation and digital decision-making tools, AI can make agricultural production more efficient and sustainable. While the integration of AI in farming is accelerating, it brings significant drawbacks. Primarily, it threatens rural livelihoods; as automated systems and robotics take over traditional tasks like weeding, irrigation, pest control and harvest monitoring, the demand for manual labour diminishes. Furthermore, the "digital divide" remains a critical barrier. Many small and marginal farmers lack the technical expertise required to operate AI systems or interpret complex data, leaving them at a disadvantage in this technological shift.
Dr. Nitin Ashok Mutkule (Mon,) studied this question.
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