<p>The sugar industry supports over 50 million farmers and their families, contributing significantly to India’s economy with over INR 1200 billion in sugar and alcohol production. However, the industry faces challenges like climate change, water scarcity, and pest infestations. Artificial Intelligence (AI) offers solutions through precision technology, data-driven decision-making, and sustainable practices. AI can boost productivity and profitability through satellite-based tracking, AI-driven irrigation, predictive analytics, and robotics. Despite potential, AI adoption in the Indian sugar industry remains fragmented, and research gaps exist in developing scalable, farmer-friendly systems and climate-resilient models. Addressing these issues can position AI to drive sustainable growth, resilience, and competitiveness of the sugar industry sector in India. An updated progress of AI applications in the Indian sugar industry, along with constraints and future potentials, is discussed.</p>

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AI-Driven Innovations in Sugarcane Farming and Sugar Industry in India: Enhancing Productivity, Efficiency, and Sustainability

  • Varucha Misra,
  • B. Gosavi,
  • Govind P. Rao,
  • R. Viswanathan,
  • S. Solomon

摘要

The sugar industry supports over 50 million farmers and their families, contributing significantly to India’s economy with over INR 1200 billion in sugar and alcohol production. However, the industry faces challenges like climate change, water scarcity, and pest infestations. Artificial Intelligence (AI) offers solutions through precision technology, data-driven decision-making, and sustainable practices. AI can boost productivity and profitability through satellite-based tracking, AI-driven irrigation, predictive analytics, and robotics. Despite potential, AI adoption in the Indian sugar industry remains fragmented, and research gaps exist in developing scalable, farmer-friendly systems and climate-resilient models. Addressing these issues can position AI to drive sustainable growth, resilience, and competitiveness of the sugar industry sector in India. An updated progress of AI applications in the Indian sugar industry, along with constraints and future potentials, is discussed.